From 5ec0ded1b6a1a56cf1221a9575940add3c251ba1 Mon Sep 17 00:00:00 2001 From: Stefan Schneider <28340802+stefanbschneider@users.noreply.github.com> Date: Thu, 20 Jul 2023 23:21:35 +0200 Subject: [PATCH] Split off and fix RLlib demo notebook (#42) The demo notebook used to contain everything: Customization, single-agent with SB3 and multi-agent with RLlib. It had several issues that are resolved in this PR: * The SB3 version was pinned to some alpha that supported Gymnasium. Now, it's pinned to newly released version v2.0.0. * RLlib was not pinned to any version, installed the latest one (2.5.1), which broke the notebook (#38 ). RLlib is now pinned to v2.5.1 and the notebook is adjusted to work correctly with it. * SB3 and RLlib need different Gymnasium versions, leading to conflict within the notebook. This PR splits the RLlib part off into a separate notebook, avoiding the compatibility issues. Closes #38 , #31, and #32 --- README.md | 5 +- examples/demo.ipynb | 1084 ++++++++++++++++-------------------------- examples/rllib.ipynb | 670 ++++++++++++++++++++++++++ 3 files changed, 1075 insertions(+), 684 deletions(-) create mode 100644 examples/rllib.ipynb diff --git a/README.md b/README.md index c26d220..ad20d5b 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,10 @@ To maximize QoE globally, the policy must recognize that (1) the data rate of an Base station icon by Clea Doltz from the Noun Project
-**[Try mobile-env: ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stefanbschneider/mobile-env/blob/master/examples/demo.ipynb)** +**Try mobile-env:** + +- Part I: Customizing mobile-env and single-agent RL with stable-baselines3: [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stefanbschneider/mobile-env/blob/master/examples/demo.ipynb) +- Part II: Multi-agent RL on mobile-env with Ray RLlib: [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stefanbschneider/mobile-env/blob/master/examples/rllib.ipynb) Documentation and API: [ReadTheDocs](https://mobile-env.readthedocs.io/en/latest/) diff --git a/examples/demo.ipynb b/examples/demo.ipynb index e682fa5..8f9c4b4 100644 --- a/examples/demo.ipynb +++ b/examples/demo.ipynb @@ -33,7 +33,7 @@ "1. Installation and usage of `mobile-env` with dummy actions\n", "2. Configuration of `mobile-env` and adjustment of the observation space (optional)\n", "3. Training a single-agent reinforcement learning approach with [`stable-baselines3`](https://github.com/DLR-RM/stable-baselines3)\n", - "4. Training a multi-agent reinforcement learning approach with [Ray RLlib](https://docs.ray.io/en/latest/rllib.html)\n", + "4. Training a multi-agent reinforcement learning approach with [Ray RLlib](https://docs.ray.io/en/latest/rllib.html) --> [**Separate RLlib-notebook**](examples\\rllib.ipynb)\n", "\n", "\n", "## Step 1: Install and Test `mobile-env` With Dummy Actions\n", @@ -58,28 +58,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: mobile-env in c:\\users\\stbs\\projects\\mobile-env (2.0.0)\n", + "Requirement already satisfied: mobile-env in c:\\users\\stbs\\projects\\mobile-env (2.0.1)\n", "Requirement already satisfied: gymnasium in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (0.28.1)\n", "Requirement already satisfied: matplotlib in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (3.7.1)\n", - "Requirement already satisfied: numpy in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (1.24.3)\n", + "Requirement already satisfied: numpy in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (1.23.5)\n", "Requirement already satisfied: pandas in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (2.0.1)\n", "Requirement already satisfied: pygame in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (2.3.0)\n", "Requirement already satisfied: shapely in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from mobile-env) (2.0.1)\n", "Requirement already satisfied: svgpath2mpl in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\svgpath2mpl-1.0.0-py3.8.egg (from mobile-env) (1.0.0)\n", - "Requirement already satisfied: farama-notifications>=0.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (0.0.4)\n", "Requirement already satisfied: cloudpickle>=1.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cloudpickle-2.2.1-py3.8.egg (from gymnasium->mobile-env) (2.2.1)\n", + "Requirement already satisfied: jax-jumpy>=1.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (1.0.0)\n", "Requirement already satisfied: importlib-metadata>=4.8.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (6.1.0)\n", + "Requirement already satisfied: farama-notifications>=0.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (0.0.4)\n", "Requirement already satisfied: typing-extensions>=4.3.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (4.5.0)\n", - "Requirement already satisfied: jax-jumpy>=1.0.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from gymnasium->mobile-env) (1.0.0)\n", - "Requirement already satisfied: cycler>=0.10 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cycler-0.11.0-py3.8.egg (from matplotlib->mobile-env) (0.11.0)\n", "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\pillow-9.4.0-py3.8-win-amd64.egg (from matplotlib->mobile-env) (9.4.0)\n", + "Requirement already satisfied: packaging>=20.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (23.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\kiwisolver-1.4.4-py3.8-win-amd64.egg (from matplotlib->mobile-env) (1.4.4)\n", - "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (2.8.2)\n", - "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (1.0.7)\n", "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\pyparsing-3.1.0a1-py3.8.egg (from matplotlib->mobile-env) (3.1.0a1)\n", "Requirement already satisfied: importlib-resources>=3.2.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (5.12.0)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\cycler-0.11.0-py3.8.egg (from matplotlib->mobile-env) (0.11.0)\n", "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages\\fonttools-4.39.2-py3.8.egg (from matplotlib->mobile-env) (4.39.2)\n", - "Requirement already satisfied: packaging>=20.0 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (23.0)\n", + "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (1.0.7)\n", + "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from matplotlib->mobile-env) (2.8.2)\n", "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pandas->mobile-env) (2023.3)\n", "Requirement already satisfied: pytz>=2020.1 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from pandas->mobile-env) (2022.7.1)\n", "Requirement already satisfied: zipp>=0.5 in c:\\users\\stbs\\.conda\\envs\\mobile-env\\lib\\site-packages (from importlib-metadata>=4.8.0->gymnasium->mobile-env) (3.15.0)\n", @@ -127,14 +127,14 @@ } ], "source": [ - "import gymnasium as gym\n", + "import gymnasium\n", "import matplotlib.pyplot as plt\n", "# importing mobile_env automatically registers the predefined scenarios in Gym\n", "import mobile_env\n", "\n", "# create a small mobile environment for a single, centralized control agent\n", "# pass rgb_array as render mode so the env can be rendered inside the notebook\n", - "env = gym.make(\"mobile-small-central-v0\", render_mode=\"rgb_array\")\n", + "env = gymnasium.make(\"mobile-small-central-v0\", render_mode=\"rgb_array\")\n", "\n", "print(f\"\\nSmall environment with {env.NUM_USERS} users and {env.NUM_STATIONS} cells.\")" ] @@ -177,7 +177,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "Python version: | \n", - "3.8.16 | \n", - "
Ray version: | \n", - "2.2.0 | \n", - "
Current time: | 2023-04-28 18:46:03 |
Running for: | 02:49:21.12 |
Memory: | 6.6/7.9 GiB |
Trial name | status | loc |
---|---|---|
PPO_mobile-small-ma-v0_810b4_00000 | PENDING |
Python version: | \n", + "3.8.16 | \n", + "
Ray version: | \n", + "2.5.1 | \n", + "
Current time: | 2023-07-20 19:50:28 |
Running for: | 00:12:35.37 |
Memory: | 6.5/7.9 GiB |
Trial name | status | loc | iter | total time (s) | ts | reward | episode_reward_max | episode_reward_min | episode_len_mean |
---|---|---|---|---|---|---|---|---|---|
PPO_mobile-small-ma-v0_27a5b_00000 | TERMINATED | 127.0.0.1:9392 | 10 | 727.201 | 40000 | -43.516 | 61.0767 | -215.01 | 100 |
Trial name | agent_timesteps_total | connector_metrics | counters | custom_metrics | date | done | episode_len_mean | episode_media | episode_reward_max | episode_reward_mean | episode_reward_min | episodes_this_iter | episodes_total | hostname | info | iterations_since_restore | node_ip | num_agent_steps_sampled | num_agent_steps_trained | num_env_steps_sampled | num_env_steps_sampled_this_iter | num_env_steps_sampled_throughput_per_sec | num_env_steps_trained | num_env_steps_trained_this_iter | num_env_steps_trained_throughput_per_sec | num_faulty_episodes | num_healthy_workers | num_in_flight_async_reqs | num_remote_worker_restarts | num_steps_trained_this_iter | perf | pid | policy_reward_max | policy_reward_mean | policy_reward_min | sampler_perf | sampler_results | time_since_restore | time_this_iter_s | time_total_s | timers | timestamp | timesteps_total | training_iteration | trial_id |
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PPO_mobile-small-ma-v0_27a5b_00000 | 200000 | {'ObsPreprocessorConnector_ms': 0.01723766326904297, 'StateBufferConnector_ms': 0.014041662216186523, 'ViewRequirementAgentConnector_ms': 0.4468255043029785} | {'num_env_steps_sampled': 40000, 'num_env_steps_trained': 40000, 'num_agent_steps_sampled': 200000, 'num_agent_steps_trained': 200000} | {} | 2023-07-20_19-50-28 | True | 100 | {} | 61.0767 | -43.516 | -215.01 | 40 | 400 | Lenovo-Yoga | {'learner': {'shared_policy': {'learner_stats': {'allreduce_latency': 0.0, 'grad_gnorm': 2.6952158027267252, 'cur_kl_coeff': 0.2, 'cur_lr': 5.0000000000000016e-05, 'total_loss': 5.715339241210063, 'policy_loss': -0.006335733171538578, 'vf_loss': 5.719637317566355, 'vf_explained_var': 0.24304954919592336, 'kl': 0.010188327711506497, 'entropy': 1.150643894955864, 'entropy_coeff': 0.0}, 'model': {}, 'custom_metrics': {}, 'num_agent_steps_trained': 127.38853503184713, 'num_grad_updates_lifetime': 44745.5, 'diff_num_grad_updates_vs_sampler_policy': 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