From a41e61148ca81a1af09be517cc24f2518a67888d Mon Sep 17 00:00:00 2001 From: Antonin RAFFIN Date: Sun, 29 Sep 2019 20:33:50 +0200 Subject: [PATCH] ACKTR Continuous (#41) * Start ACKTR continuous version * [ci skip] Update hyperparams * [ci skip] Update hyperparams (add bipedal) * [ci skip] Update hyperparams * Add support for hyperparam optimization for ACKTR * Fix for zip format * Update hyperparams * Hyperparam optimization for TD3 * Update benchmark * Update benchmark * Update benchmark * Update travis * Upgrade docker images * [ci skip] Update Readme * Split travis tests * Fix permission script * Fix pytest * Fix test for TD3 --- .travis.yml | 21 +++- README.md | 24 +++-- benchmark.md | 7 ++ docker/Dockerfile.cpu | 2 +- docker/Dockerfile.gpu | 2 +- enjoy.py | 12 ++- hyperparams/acktr.yml | 102 ++++++++++++++++++ hyperparams/td3.yml | 16 ++- run_docker_cpu.sh | 2 +- run_docker_gpu.sh | 2 +- scripts/run_tests_travis.sh | 23 ++++ tests/test_hyperparams_opt.py | 6 +- train.py | 4 +- trained_agents/acktr/BipedalWalker-v2.zip | Bin 0 -> 64110 bytes .../acktr/BipedalWalker-v2/config.yml | 11 ++ .../acktr/BipedalWalker-v2/obs_rms.pkl | Bin 0 -> 686 bytes .../acktr/BipedalWalker-v2/ret_rms.pkl | Bin 0 -> 250 bytes .../acktr/BipedalWalkerHardcore-v2.zip | Bin 0 -> 64118 bytes .../acktr/BipedalWalkerHardcore-v2/config.yml | 11 ++ .../BipedalWalkerHardcore-v2/obs_rms.pkl | Bin 0 -> 686 bytes .../BipedalWalkerHardcore-v2/ret_rms.pkl | Bin 0 -> 250 bytes .../acktr/HalfCheetahBulletEnv-v0.zip | Bin 0 -> 66866 bytes .../acktr/HalfCheetahBulletEnv-v0/config.yml | 14 +++ .../acktr/HalfCheetahBulletEnv-v0/obs_rms.pkl | Bin 0 -> 734 bytes .../acktr/HalfCheetahBulletEnv-v0/ret_rms.pkl | Bin 0 -> 250 bytes .../acktr/LunarLanderContinuous-v2.zip | Bin 0 -> 54246 bytes .../acktr/LunarLanderContinuous-v2/config.yml | 10 ++ .../LunarLanderContinuous-v2/obs_rms.pkl | Bin 0 -> 430 bytes .../LunarLanderContinuous-v2/ret_rms.pkl | Bin 0 -> 250 bytes .../acktr/MountainCarContinuous-v0.zip | Bin 0 -> 50412 bytes .../acktr/MountainCarContinuous-v0/config.yml | 6 ++ .../MountainCarContinuous-v0/obs_rms.pkl | Bin 0 -> 334 bytes .../MountainCarContinuous-v0/ret_rms.pkl | Bin 0 -> 250 bytes trained_agents/acktr/Pendulum-v0.zip | Bin 0 -> 50948 bytes trained_agents/acktr/Pendulum-v0/config.yml | 9 ++ trained_agents/td3/BipedalWalker-v2.zip | Bin 0 -> 3191250 bytes .../td3/BipedalWalker-v2/config.yml | 13 +++ utils/benchmark.py | 2 +- utils/hyperparams_opt.py | 73 +++++++++++-- utils/utils.py | 9 +- 40 files changed, 345 insertions(+), 36 deletions(-) mode change 100644 => 100755 run_docker_gpu.sh create mode 100755 scripts/run_tests_travis.sh create mode 100644 trained_agents/acktr/BipedalWalker-v2.zip create mode 100644 trained_agents/acktr/BipedalWalker-v2/config.yml create mode 100644 trained_agents/acktr/BipedalWalker-v2/obs_rms.pkl create mode 100644 trained_agents/acktr/BipedalWalker-v2/ret_rms.pkl create mode 100644 trained_agents/acktr/BipedalWalkerHardcore-v2.zip create mode 100644 trained_agents/acktr/BipedalWalkerHardcore-v2/config.yml create mode 100644 trained_agents/acktr/BipedalWalkerHardcore-v2/obs_rms.pkl create mode 100644 trained_agents/acktr/BipedalWalkerHardcore-v2/ret_rms.pkl create mode 100644 trained_agents/acktr/HalfCheetahBulletEnv-v0.zip create mode 100644 trained_agents/acktr/HalfCheetahBulletEnv-v0/config.yml create mode 100644 trained_agents/acktr/HalfCheetahBulletEnv-v0/obs_rms.pkl create mode 100644 trained_agents/acktr/HalfCheetahBulletEnv-v0/ret_rms.pkl create mode 100644 trained_agents/acktr/LunarLanderContinuous-v2.zip create mode 100644 trained_agents/acktr/LunarLanderContinuous-v2/config.yml create mode 100644 trained_agents/acktr/LunarLanderContinuous-v2/obs_rms.pkl create mode 100644 trained_agents/acktr/LunarLanderContinuous-v2/ret_rms.pkl create mode 100644 trained_agents/acktr/MountainCarContinuous-v0.zip create mode 100644 trained_agents/acktr/MountainCarContinuous-v0/config.yml create mode 100644 trained_agents/acktr/MountainCarContinuous-v0/obs_rms.pkl create mode 100644 trained_agents/acktr/MountainCarContinuous-v0/ret_rms.pkl create mode 100644 trained_agents/acktr/Pendulum-v0.zip create mode 100644 trained_agents/acktr/Pendulum-v0/config.yml create mode 100644 trained_agents/td3/BipedalWalker-v2.zip create mode 100644 trained_agents/td3/BipedalWalker-v2/config.yml diff --git a/.travis.yml b/.travis.yml index 44884a8..b6bc993 100644 --- a/.travis.yml +++ b/.travis.yml @@ -5,11 +5,28 @@ python: notifications: email: false +env: + global: + - DOCKER_IMAGE=araffin/rl-baselines-zoo-cpu:v2.8.0 + services: - docker install: - - docker pull araffin/rl-baselines-zoo-cpu + - docker pull ${DOCKER_IMAGE} script: - - docker run -it --rm --network host --ipc=host --mount src=$(pwd),target=/root/code/stable-baselines,type=bind araffin/rl-baselines-zoo-cpu bash -c "cd /root/code/stable-baselines/ && pip install --upgrade git+https://github.com/pfnet/optuna.git && python -m pytest --cov-config .coveragerc --cov-report term --cov=. -v tests/" + - ./scripts/run_tests_travis.sh "${TEST_GLOB}" + +jobs: + include: + # Split test suite to avoid exceeding travis limit + - stage: Test + name: "Unit Tests Train" + env: TEST_GLOB="train.py" + + - name: "Unit Tests Enjoy" + env: TEST_GLOB="enjoy.py" + + - name: "Unit Tests Hyperparams opt" + env: TEST_GLOB="hyperparams_opt.py" diff --git a/README.md b/README.md index 6fe9706..42bb212 100644 --- a/README.md +++ b/README.md @@ -62,14 +62,14 @@ mpirun -n 16 python train.py --algo trpo --env BreakoutNoFrameskip-v4 We use [Optuna](https://optuna.org/) for optimizing the hyperparameters. -Note: hyperparameters search is only implemented for PPO2/A2C/SAC/TRPO/DDPG for now. +Note: hyperparameters search is not implemented for ACER and DQN for now. when using SuccessiveHalvingPruner ("halving"), you must specify `--n-jobs > 1` Budget of 1000 trials with a maximum of 50000 steps: ``` python train.py --algo ppo2 --env MountainCar-v0 -n 50000 -optimize --n-trials 1000 --n-jobs 2 \ - --sampler random --pruner median + --sampler tpe --pruner median ``` @@ -116,7 +116,7 @@ Additional Atari Games (to be completed): |----------|--------------|----------------|------------|--------------|--------------------------| | A2C | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | ACER | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | N/A | N/A | -| ACKTR | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | N/A | N/A | +| ACKTR | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | PPO2 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | DQN | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | N/A | N/A | | DDPG | N/A | N/A | N/A | :heavy_check_mark: | :heavy_check_mark: | @@ -129,15 +129,15 @@ Additional Atari Games (to be completed): | RL Algo | BipedalWalker-v2 | LunarLander-v2 | LunarLanderContinuous-v2 | BipedalWalkerHardcore-v2 | CarRacing-v0 | |----------|--------------|----------------|------------|--------------|--------------------------| -| A2C | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | +| A2C | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | ACER | N/A | :heavy_check_mark: | N/A | N/A | N/A | -| ACKTR | N/A | :heavy_check_mark: | N/A | N/A | N/A | -| PPO2 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | +| ACKTR | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | +| PPO2 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | DQN | N/A | :heavy_check_mark: | N/A | N/A | N/A | -| DDPG | :heavy_check_mark: | N/A | :heavy_check_mark: | | | +| DDPG | :heavy_check_mark: | N/A | :heavy_check_mark: | | | | SAC | :heavy_check_mark: | N/A | :heavy_check_mark: | :heavy_check_mark: | | -| TD3 | | N/A | :heavy_check_mark: | | | -| TRPO | | :heavy_check_mark: | :heavy_check_mark: | | | +| TD3 | :heavy_check_mark: | N/A | :heavy_check_mark: | | | +| TRPO | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | ### PyBullet Environments @@ -149,6 +149,7 @@ Note: those environments are derived from [Roboschool](https://github.com/openai | RL Algo | Walker2D | HalfCheetah | Ant | Reacher | Hopper | Humanoid | |----------|-----------|-------------|-----|---------|---------|----------| | A2C | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | +| ACKTR | | :heavy_check_mark: | | | | | | PPO2 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | DDPG | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | | | SAC | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | @@ -160,6 +161,7 @@ PyBullet Envs (Continued) | RL Algo | Minitaur | MinitaurDuck | InvertedDoublePendulum | InvertedPendulumSwingup | |----------|-----------|-------------|-----|---------| | A2C | | | | | +| ACKTR | | | | | | PPO2 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | DDPG | | | | | | SAC | | | :heavy_check_mark: | :heavy_check_mark: | @@ -209,11 +211,11 @@ You can train agents online using [colab notebook](https://colab.research.google ### Stable-Baselines PyPi Package -Min version: stable-baselines >= 2.7.0 +Min version: stable-baselines[mpi] >= 2.8.0 ``` apt-get install swig cmake libopenmpi-dev zlib1g-dev ffmpeg -pip install stable-baselines box2d box2d-kengz pyyaml pybullet optuna pytablewriter scikit-optimize +pip install stable-baselines[mpi] box2d box2d-kengz pyyaml pybullet optuna pytablewriter scikit-optimize ``` Please see [Stable Baselines README](https://github.com/hill-a/stable-baselines) for alternatives. diff --git a/benchmark.md b/benchmark.md index 8fdf98d..4edc701 100644 --- a/benchmark.md +++ b/benchmark.md @@ -34,12 +34,18 @@ |acer |SpaceInvadersNoFrameskip-v4 | 542.556| 172.332| 150374| 133| |acktr|Acrobot-v1 | -91.284| 32.515| 149959| 1625| |acktr|BeamRiderNoFrameskip-v4 | 3760.976| 1826.059| 147414| 41| +|acktr|BipedalWalker-v2 | 292.419| 54.373| 149881| 216| +|acktr|BipedalWalkerHardcore-v2 | 44.796| 113.898| 149216| 129| |acktr|BreakoutNoFrameskip-v4 | 448.514| 88.882| 143118| 37| |acktr|CartPole-v1 | 487.573| 63.866| 149685| 307| |acktr|EnduroNoFrameskip-v4 | 0.000| 0.000| 149574| 45| +|acktr|HalfCheetahBulletEnv-v0 | 2535.255| 110.368| 150000| 150| |acktr|LunarLander-v2 | 96.822| 64.020| 149905| 176| +|acktr|LunarLanderContinuous-v2 | 239.953| 58.406| 149825| 480| |acktr|MountainCar-v0 | -111.917| 21.422| 149969| 1340| +|acktr|MountainCarContinuous-v0 | 93.779| 0.115| 149993| 2265| |acktr|MsPacmanNoFrameskip-v4 | 1598.776| 264.338| 149588| 147| +|acktr|Pendulum-v0 | -213.831| 137.857| 150000| 750| |acktr|PongNoFrameskip-v4 | 19.224| 3.697| 147753| 67| |acktr|QbertNoFrameskip-v4 | 9569.575| 3980.468| 150896| 106| |acktr|SeaquestNoFrameskip-v4 | 1672.239| 105.092| 149148| 67| @@ -104,6 +110,7 @@ |sac |ReacherBulletEnv-v0 | 17.529| 9.860| 150000| 1000| |sac |Walker2DBulletEnv-v0 | 2052.646| 13.631| 150000| 150| |td3 |AntBulletEnv-v0 | 3269.021| 60.697| 150000| 150| +|td3 |BipedalWalker-v2 | 308.793| 23.750| 149713| 228| |td3 |HalfCheetahBulletEnv-v0 | 3160.318| 15.284| 150000| 150| |td3 |HopperBulletEnv-v0 | 2743.910| 20.159| 150000| 150| |td3 |HumanoidBulletEnv-v0 | 1638.081| 801.594| 149453| 182| diff --git a/docker/Dockerfile.cpu b/docker/Dockerfile.cpu index fdcf11d..620cb96 100644 --- a/docker/Dockerfile.cpu +++ b/docker/Dockerfile.cpu @@ -22,7 +22,7 @@ RUN \ pip install pytest-cov && \ pip install pyyaml && \ pip install box2d-py==2.3.5 && \ - pip install stable-baselines && \ + pip install stable-baselines[mpi]==2.8.0 && \ pip install pybullet && \ pip install gym-minigrid && \ pip install scikit-optimize && \ diff --git a/docker/Dockerfile.gpu b/docker/Dockerfile.gpu index cbed120..47fd9b3 100644 --- a/docker/Dockerfile.gpu +++ b/docker/Dockerfile.gpu @@ -22,7 +22,7 @@ RUN \ pip install pyyaml && \ pip install box2d-py==2.3.5 && \ pip install tensorflow-gpu==1.8.0 && \ - pip install stable-baselines && \ + pip install stable-baselines[mpi]==2.8.0 && \ pip install pybullet && \ pip install gym-minigrid && \ pip install scikit-optimize && \ diff --git a/enjoy.py b/enjoy.py index 7b8e421..d0d4062 100644 --- a/enjoy.py +++ b/enjoy.py @@ -73,10 +73,18 @@ def main(): else: log_path = os.path.join(folder, algo) - model_path = "{}/{}.pkl".format(log_path, env_id) assert os.path.isdir(log_path), "The {} folder was not found".format(log_path) - assert os.path.isfile(model_path), "No model found for {} on {}, path: {}".format(algo, env_id, model_path) + + found = False + for ext in ['pkl', 'zip']: + model_path = "{}/{}.{}".format(log_path, env_id, ext) + found = os.path.isfile(model_path) + if found: + break + + if not found: + raise ValueError("No model found for {} on {}, path: {}".format(algo, env_id, model_path)) if algo in ['dqn', 'ddpg', 'sac', 'td3']: args.n_envs = 1 diff --git a/hyperparams/acktr.yml b/hyperparams/acktr.yml index f22435e..3e605af 100644 --- a/hyperparams/acktr.yml +++ b/hyperparams/acktr.yml @@ -32,3 +32,105 @@ Acrobot-v1: n_timesteps: !!float 5e5 policy: 'MlpPolicy' ent_coef: 0.0 + +Pendulum-v0: + n_envs: 4 + n_timesteps: !!float 2e6 + policy: 'MlpPolicy' + ent_coef: 0.0 + gamma: 0.99 + n_steps: 16 + learning_rate: 0.06 + lr_schedule: 'constant' + +LunarLanderContinuous-v2: + normalize: true + n_envs: 8 + n_timesteps: !!float 5e6 + policy: 'MlpPolicy' + gamma: 0.99 + n_steps: 16 + ent_coef: 0.0 + learning_rate: 0.06 + lr_schedule: 'constant' + +MountainCarContinuous-v0: + normalize: true + n_envs: 16 + n_timesteps: !!float 3e5 + policy: 'MlpPolicy' + ent_coef: 0.0 + +# Tuned +HalfCheetahBulletEnv-v0: + env_wrapper: utils.wrappers.TimeFeatureWrapper + normalize: True + n_envs: 1 + n_timesteps: !!float 2e6 + policy: 'MlpPolicy' + ent_coef: 0.0 + lr_schedule: 'constant' + learning_rate: 0.0217 + n_steps: 128 + nprocs: 4 + max_grad_norm: 0.5 + gamma: 0.98 + vf_coef: 0.946 + +# TO BE tuned +Walker2DBulletEnv-v0: + env_wrapper: utils.wrappers.TimeFeatureWrapper + normalize: True + n_envs: 1 + n_timesteps: !!float 2e6 + policy: 'MlpPolicy' + ent_coef: 0.0 + # lr_schedule: 'constant' + # learning_rate: 0.0217 + n_steps: 128 + nprocs: 4 + gamma: 0.99 + vf_coef: 0.946 + + +HalfCheetah-v2: + env_wrapper: utils.wrappers.TimeFeatureWrapper + normalize: True + n_envs: 1 + n_timesteps: !!float 1e6 + policy: 'MlpPolicy' + ent_coef: 0.0 + lr_schedule: 'constant' + learning_rate: 0.2 + n_steps: 2048 + nprocs: 4 + max_grad_norm: 10 + gamma: 0.99 + vf_coef: 0.5 + policy_kwargs: "dict(net_arch=[256, 256])" + +# Tuned +BipedalWalkerHardcore-v2: + normalize: true + n_envs: 8 + n_timesteps: !!float 10e7 + policy: 'MlpPolicy' + ent_coef: 0.000125 + lr_schedule: 'constant' + learning_rate: 0.0675 + n_steps: 16 + gamma: 0.9999 + vf_coef: 0.51 + +# Tuned +BipedalWalker-v2: + normalize: true + n_envs: 8 + n_timesteps: !!float 5e6 + policy: 'MlpPolicy' + ent_coef: 0.0 + lr_schedule: 'constant' + learning_rate: 0.298 + n_steps: 32 + gamma: 0.98 + vf_coef: 0.38 diff --git a/hyperparams/td3.yml b/hyperparams/td3.yml index f877ab2..77ec58b 100644 --- a/hyperparams/td3.yml +++ b/hyperparams/td3.yml @@ -49,6 +49,20 @@ HalfCheetahBulletEnv-v0: gradient_steps: 1000 policy_kwargs: "dict(layers=[400, 300])" +BipedalWalker-v2: + n_timesteps: !!float 2e6 + policy: 'MlpPolicy' + gamma: 0.99 + buffer_size: 1000000 + noise_type: 'normal' + noise_std: 0.1 + learning_starts: 10000 + batch_size: 100 + learning_rate: !!float 1e-3 + train_freq: 1000 + gradient_steps: 1000 + policy_kwargs: "dict(layers=[400, 300])" + # To be tuned BipedalWalkerHardcore-v2: n_timesteps: !!float 5e7 @@ -59,7 +73,7 @@ BipedalWalkerHardcore-v2: noise_std: 0.2 learning_starts: 10000 batch_size: 100 - learning_rate: 1e-3 + learning_rate: !!float 1e-3 train_freq: 1000 gradient_steps: 1000 policy_kwargs: "dict(layers=[400, 300])" diff --git a/run_docker_cpu.sh b/run_docker_cpu.sh index 902eecd..4001969 100755 --- a/run_docker_cpu.sh +++ b/run_docker_cpu.sh @@ -8,5 +8,5 @@ echo $cmd_line docker run -it --rm --network host --ipc=host \ - --mount src=$(pwd),target=/root/code/stable-baselines,type=bind araffin/rl-baselines-zoo-cpu\ + --mount src=$(pwd),target=/root/code/stable-baselines,type=bind araffin/rl-baselines-zoo-cpu:v2.8.0\ bash -c "cd /root/code/stable-baselines/ && $cmd_line" diff --git a/run_docker_gpu.sh b/run_docker_gpu.sh old mode 100644 new mode 100755 index ec6a1bb..f288224 --- a/run_docker_gpu.sh +++ b/run_docker_gpu.sh @@ -8,5 +8,5 @@ echo $cmd_line docker run -it --runtime=nvidia --rm --network host --ipc=host \ - --mount src=$(pwd),target=/root/code/stable-baselines,type=bind araffin/rl-baselines-zoo\ + --mount src=$(pwd),target=/root/code/stable-baselines,type=bind araffin/rl-baselines-zoo:v2.8.0\ bash -c "cd /root/code/stable-baselines/ && $cmd_line" diff --git a/scripts/run_tests_travis.sh b/scripts/run_tests_travis.sh new file mode 100755 index 0000000..4f01313 --- /dev/null +++ b/scripts/run_tests_travis.sh @@ -0,0 +1,23 @@ +#!/usr/bin/env bash + +DOCKER_CMD="docker run -it --rm --network host --ipc=host --mount src=$(pwd),target=/root/code/stable-baselines,type=bind" +BASH_CMD="cd /root/code/stable-baselines/" + +if [[ $# -ne 1 ]]; then + echo "usage: $0 " + exit 1 +fi + +if [[ ${DOCKER_IMAGE} = "" ]]; then + echo "Need DOCKER_IMAGE environment variable to be set." + exit 1 +fi + +TEST_GLOB=$1 + +set -e # exit immediately on any error + + +${DOCKER_CMD} ${DOCKER_IMAGE} \ + bash -c "${BASH_CMD} && \ + python -m pytest --cov-config .coveragerc --cov-report term --cov=. -v tests/test_${TEST_GLOB}" diff --git a/tests/test_hyperparams_opt.py b/tests/test_hyperparams_opt.py index 096c1a5..d251901 100644 --- a/tests/test_hyperparams_opt.py +++ b/tests/test_hyperparams_opt.py @@ -13,9 +13,9 @@ def _assert_eq(left, right): N_TRIALS = 2 N_JOBS = 1 -ALGOS = ('ppo2', 'a2c', 'trpo') +ALGOS = ('ppo2', 'a2c', 'trpo', 'acktr') # Not yet supported: -# ALGOS = ('acer', 'acktr', 'dqn') +# ALGOS = ('acer', 'dqn') ENV_IDS = ('CartPole-v1',) LOG_FOLDER = 'logs/tests_optimize/' @@ -29,6 +29,8 @@ def _assert_eq(left, right): experiments['ddpg-MountainCarContinuous-v0'] = ('ddpg', 'MountainCarContinuous-v0') # Test for SAC experiments['sac-Pendulum-v0'] = ('sac', 'Pendulum-v0') +# Test for TD3 +experiments['td3-Pendulum-v0'] = ('td3', 'Pendulum-v0') # Clean up if os.path.isdir(LOG_FOLDER): diff --git a/train.py b/train.py index 1fd7d34..27b3187 100644 --- a/train.py +++ b/train.py @@ -51,9 +51,9 @@ help='Run hyperparameters search') parser.add_argument('--n-jobs', help='Number of parallel jobs when optimizing hyperparameters', type=int, default=1) parser.add_argument('--sampler', help='Sampler to use when optimizing hyperparameters', type=str, - default='skopt', choices=['random', 'tpe', 'skopt']) + default='tpe', choices=['random', 'tpe', 'skopt']) parser.add_argument('--pruner', help='Pruner to use when optimizing hyperparameters', type=str, - default='none', choices=['halving', 'median', 'none']) + default='median', choices=['halving', 'median', 'none']) parser.add_argument('--verbose', help='Verbose mode (0: no output, 1: INFO)', default=1, type=int) parser.add_argument('--gym-packages', type=str, nargs='+', default=[], help='Additional external Gym environemnt package modules to import (e.g. gym_minigrid)') diff --git a/trained_agents/acktr/BipedalWalker-v2.zip b/trained_agents/acktr/BipedalWalker-v2.zip new file mode 100644 index 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