Implement Gymnasium-compliant PPO script

.github/workflows/pre-commit.yml

@@ -1,10 +1,7 @@
 name: pre-commit
 
 on:
-  push:
-    branches: [ master ]
-  pull_request:
-    branches: [ master ]
+  push
 jobs:
   build:
     runs-on: ubuntu-latest

.github/workflows/tests.yaml

@@ -5,11 +5,6 @@ on:
       - '**/README.md'
       - 'docs/**/*'
       - 'cloud/**/*'
-  pull_request:
-    paths-ignore:
-      - '**/README.md'
-      - 'docs/**/*'
-      - 'cloud/**/*'
 jobs:
   test-core-envs:
     strategy:
@@ -133,7 +128,6 @@ jobs:
       - name: Run pybullet tests
         run: poetry run pytest tests/test_procgen.py
 
-
   test-mujoco-envs:
     strategy:
       fail-fast: false
@@ -153,25 +147,76 @@ jobs:
           poetry-version: ${{ matrix.poetry-version }}
 
       # mujoco tests
-      - name: Install core dependencies
-        run: poetry install --with pytest
-      - name: Install pybullet dependencies
-        run: poetry install --with pybullet
-      - name: Install mujoco dependencies
-        run: poetry install --with mujoco
-      - name: Install jax dependencies
-        run: poetry install --with jax
+      - name: Install dependencies
+        run: poetry install --with pytest,mujoco,dm_control
       - name: Downgrade setuptools
         run: poetry run pip install setuptools==59.5.0
       - name: install mujoco dependencies
+        run: |
+          sudo apt-get update && sudo apt-get -y install libgl1-mesa-glx libosmesa6 libglfw3
+      - name: Run mujoco tests
+        continue-on-error: true # MUJOCO_GL=osmesa results in `free(): invalid pointer`
+        run: poetry run pytest tests/test_mujoco.py
+
+  test-mujoco-envs-windows-mac:
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: [3.8]
+        poetry-version: [1.2]
+        os: [macos-latest, windows-latest]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Run image
+        uses: abatilo/[email protected]
+        with:
+          poetry-version: ${{ matrix.poetry-version }}
+
+      # mujoco tests
+      - name: Install dependencies
+        run: poetry install --with pytest,mujoco,dm_control
+      - name: Downgrade setuptools
+        run: poetry run pip install setuptools==59.5.0
+      - name: Run mujoco tests
+        run: poetry run pytest tests/test_mujoco.py
+
+
+  test-mujoco_py-envs:
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: [3.8]
+        poetry-version: [1.2]
+        os: [ubuntu-22.04]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Run image
+        uses: abatilo/[email protected]
+        with:
+          poetry-version: ${{ matrix.poetry-version }}
+
+      # mujoco_py tests
+      - name: Install dependencies
+        run: poetry install --with pytest,pybullet,mujoco_py,mujoco,jax
+      - name: Downgrade setuptools
+        run: poetry run pip install setuptools==59.5.0
+      - name: install mujoco_py dependencies
         run: |
           sudo apt-get update && sudo apt-get -y install wget unzip software-properties-common \
             libgl1-mesa-dev \
             libgl1-mesa-glx \
             libglew-dev \
             libosmesa6-dev patchelf
-      - name: Run mujoco tests
-        run: poetry run pytest tests/test_mujoco.py
+      - name: Run mujoco_py tests
+        run: poetry run pytest tests/test_mujoco_py.py
 
   test-envpool-envs:
     strategy:
@@ -251,4 +296,4 @@ jobs:
       - name: Install ROMs
         run: poetry run AutoROM --accept-license
       - name: Run pettingzoo tests
-        run: poetry run pytest tests/test_pettingzoo_ma_atari.py
+        run: poetry run pytest tests/test_pettingzoo_ma_atari.py

.gitpod.Dockerfile

@@ -12,7 +12,7 @@ RUN mkdir cleanrl_utils && touch cleanrl_utils/__init__.py
 RUN pip install poetry
 RUN poetry config virtualenvs.in-project true
 
-# install mujoco
+# install mujoco_py
 RUN sudo apt-get -y install wget unzip software-properties-common \
     libgl1-mesa-dev \
     libgl1-mesa-glx \

.pre-commit-config.yaml

@@ -53,8 +53,8 @@ repos:
         args: ["--without-hashes", "-o", "requirements/requirements-pybullet.txt", "--with", "pybullet"]
         stages: [manual]
       - id: poetry-export
-        name: poetry-export requirements-mujoco.txt
-        args: ["--without-hashes", "-o", "requirements/requirements-mujoco.txt", "--with", "mujoco"]
+        name: poetry-export requirements-mujoco_py.txt
+        args: ["--without-hashes", "-o", "requirements/requirements-mujoco_py.txt", "--with", "mujoco_py"]
         stages: [manual]
       - id: poetry-export
         name: poetry-export requirements-procgen.txt

Dockerfile

@@ -15,13 +15,13 @@ RUN poetry install
 RUN poetry install --with atari
 RUN poetry install --with pybullet
 
-# install mujoco
+# install mujoco_py
 RUN apt-get -y install wget unzip software-properties-common \
     libgl1-mesa-dev \
     libgl1-mesa-glx \
     libglew-dev \
     libosmesa6-dev patchelf
-RUN poetry install --with mujoco
+RUN poetry install --with mujoco_py
 RUN poetry run python -c "import mujoco_py"
 
 COPY entrypoint.sh /usr/local/bin/

README.md

@@ -113,7 +113,6 @@ You may also use a prebuilt development environment hosted in Gitpod:
 
 ## Algorithms Implemented
 
-# Overview
 
 | Algorithm      | Variants Implemented |
 | ----------- | ----------- |

benchmark/ddpg.sh

@@ -1,12 +1,12 @@
-poetry install --with mujoco,pybullet
+poetry install --with mujoco_py,pybullet
 python -c "import mujoco_py"
 xvfb-run -a python -m cleanrl_utils.benchmark \
     --env-ids HalfCheetah-v2 Walker2d-v2 Hopper-v2 InvertedPendulum-v2 Humanoid-v2 Pusher-v2 \
     --command "poetry run python cleanrl/ddpg_continuous_action.py --track --capture-video" \
     --num-seeds 3 \
     --workers 1
 
-poetry install --with mujoco,jax
+poetry install --with mujoco_py,jax
 poetry run pip install --upgrade "jax[cuda]==0.3.17" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
 poetry run python -c "import mujoco_py"
 xvfb-run -a poetry run python -m cleanrl_utils.benchmark \

benchmark/ppo.sh

@@ -28,13 +28,13 @@ xvfb-run -a poetry run python -m cleanrl_utils.benchmark \
     --num-seeds 3 \
     --workers 1
 
-poetry install --with mujoco,pybullet
+poetry install --with mujoco_py,mujoco
 poetry run python -c "import mujoco_py"
 OMP_NUM_THREADS=1 xvfb-run -a poetry run python -m cleanrl_utils.benchmark \
-    --env-ids HalfCheetah-v2 Walker2d-v2 Hopper-v2 \
+    --env-ids HalfCheetah-v2 Walker2d-v2 Hopper-v2 InvertedPendulum-v2 Humanoid-v2 Pusher-v2 \
     --command "poetry run python cleanrl/ppo_continuous_action.py --cuda False --track --capture-video" \
     --num-seeds 3 \
-    --workers 9
+    --workers 6
 
 poetry install --with procgen
 xvfb-run -a poetry run python -m cleanrl_utils.benchmark \
@@ -89,3 +89,19 @@ poetry run python -m cleanrl_utils.benchmark \
     --command "poetry run python ppo_atari_envpool_xla_jax.py --track --wandb-project-name envpool-atari --wandb-entity openrlbenchmark" \
     --num-seeds 3 \
     --workers 1
+
+# gymnasium support
+poetry install --with mujoco
+OMP_NUM_THREADS=1 xvfb-run -a python -m cleanrl_utils.benchmark \
+    --env-ids HalfCheetah-v4 Walker2d-v4 Hopper-v4 InvertedPendulum-v4 Humanoid-v4 Pusher-v4 \
+    --command "poetry run python cleanrl/gymnasium_support/ppo_continuous_action.py --cuda False --track" \
+    --num-seeds 3 \
+    --workers 1
+
+poetry install --with dm_control,mujoco
+OMP_NUM_THREADS=1 xvfb-run -a poetry run python -m cleanrl_utils.benchmark \
+    --env-ids dm_control/acrobot-swingup-v0 dm_control/acrobot-swingup_sparse-v0 dm_control/ball_in_cup-catch-v0 dm_control/cartpole-balance-v0 dm_control/cartpole-balance_sparse-v0 dm_control/cartpole-swingup-v0 dm_control/cartpole-swingup_sparse-v0 dm_control/cartpole-two_poles-v0 dm_control/cartpole-three_poles-v0 dm_control/cheetah-run-v0 dm_control/dog-stand-v0 dm_control/dog-walk-v0 dm_control/dog-trot-v0 dm_control/dog-run-v0 dm_control/dog-fetch-v0 dm_control/finger-spin-v0 dm_control/finger-turn_easy-v0 dm_control/finger-turn_hard-v0 dm_control/fish-upright-v0 dm_control/fish-swim-v0 dm_control/hopper-stand-v0 dm_control/hopper-hop-v0 dm_control/humanoid-stand-v0 dm_control/humanoid-walk-v0 dm_control/humanoid-run-v0 dm_control/humanoid-run_pure_state-v0 dm_control/humanoid_CMU-stand-v0 dm_control/humanoid_CMU-run-v0 dm_control/lqr-lqr_2_1-v0 dm_control/lqr-lqr_6_2-v0 dm_control/manipulator-bring_ball-v0 dm_control/manipulator-bring_peg-v0 dm_control/manipulator-insert_ball-v0 dm_control/manipulator-insert_peg-v0 dm_control/pendulum-swingup-v0 dm_control/point_mass-easy-v0 dm_control/point_mass-hard-v0 dm_control/quadruped-walk-v0 dm_control/quadruped-run-v0 dm_control/quadruped-escape-v0 dm_control/quadruped-fetch-v0 dm_control/reacher-easy-v0 dm_control/reacher-hard-v0 dm_control/stacker-stack_2-v0 dm_control/stacker-stack_4-v0 dm_control/swimmer-swimmer6-v0 dm_control/swimmer-swimmer15-v0 dm_control/walker-stand-v0 dm_control/walker-walk-v0 dm_control/walker-run-v0 \
+    --command "poetry run python cleanrl/gymnasium_support/ppo_continuous_action.py --cuda False --track" \
+    --num-seeds 3 \
+    --workers 9
+

benchmark/sac.sh

@@ -1,4 +1,4 @@
-poetry install --with mujoco,pybullet
+poetry install --with mujoco_py,pybullet
 poetry run python -c "import mujoco_py"
 OMP_NUM_THREADS=1 xvfb-run -a poetry run python -m cleanrl_utils.benchmark \
     --env-ids HalfCheetah-v2 Walker2d-v2 Hopper-v2 \

benchmark/td3.sh

@@ -1,12 +1,12 @@
-poetry install --with mujoco,pybullet
+poetry install --with mujoco_py,pybullet
 python -c "import mujoco_py"
 OMP_NUM_THREADS=1 xvfb-run -a python -m cleanrl_utils.benchmark \
     --env-ids HalfCheetah-v2 Walker2d-v2 Hopper-v2 InvertedPendulum-v2 Humanoid-v2 Pusher-v2 \
     --command "poetry run python cleanrl/td3_continuous_action.py --track --capture-video" \
     --num-seeds 3 \
     --workers 1
 
-poetry install --with mujoco,jax
+poetry install --with mujoco_py,jax
 poetry run pip install --upgrade "jax[cuda]==0.3.17" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
 poetry run python -c "import mujoco_py"
 xvfb-run -a poetry run python -m cleanrl_utils.benchmark \

cleanrl/ppo_continuous_action.py

@@ -5,9 +5,8 @@
 import time
 from distutils.util import strtobool
 
-import gym
+import gymnasium as gym
 import numpy as np
-import pybullet_envs  # noqa
 import torch
 import torch.nn as nn
 import torch.optim as optim
@@ -36,7 +35,7 @@ def parse_args():
         help="whether to capture videos of the agent performances (check out `videos` folder)")
 
     # Algorithm specific arguments
-    parser.add_argument("--env-id", type=str, default="HalfCheetahBulletEnv-v0",
+    parser.add_argument("--env-id", type=str, default="HalfCheetah-v4",
         help="the id of the environment")
     parser.add_argument("--total-timesteps", type=int, default=1000000,
         help="total timesteps of the experiments")
@@ -77,9 +76,13 @@ def parse_args():
     return args
 
 
-def make_env(env_id, seed, idx, capture_video, run_name, gamma):
+def make_env(env_id, idx, capture_video, run_name, gamma):
     def thunk():
-        env = gym.make(env_id)
+        if capture_video:
+            env = gym.make(env_id, render_mode="rgb_array")
+        else:
+            env = gym.make(env_id)
+        env = gym.wrappers.FlattenObservation(env)  # deal with dm_control's Dict observation space
         env = gym.wrappers.RecordEpisodeStatistics(env)
         if capture_video:
             if idx == 0:
@@ -89,9 +92,6 @@ def thunk():
         env = gym.wrappers.TransformObservation(env, lambda obs: np.clip(obs, -10, 10))
         env = gym.wrappers.NormalizeReward(env, gamma=gamma)
         env = gym.wrappers.TransformReward(env, lambda reward: np.clip(reward, -10, 10))
-        env.seed(seed)
-        env.action_space.seed(seed)
-        env.observation_space.seed(seed)
         return env
 
     return thunk
@@ -147,7 +147,7 @@ def get_action_and_value(self, x, action=None):
             sync_tensorboard=True,
             config=vars(args),
             name=run_name,
-            monitor_gym=True,
+            # monitor_gym=True, no longer works for gymnasium
             save_code=True,
         )
     writer = SummaryWriter(f"runs/{run_name}")
@@ -166,7 +166,7 @@ def get_action_and_value(self, x, action=None):
 
     # env setup
     envs = gym.vector.SyncVectorEnv(
-        [make_env(args.env_id, args.seed + i, i, args.capture_video, run_name, args.gamma) for i in range(args.num_envs)]
+        [make_env(args.env_id, i, args.capture_video, run_name, args.gamma) for i in range(args.num_envs)]
     )
     assert isinstance(envs.single_action_space, gym.spaces.Box), "only continuous action space is supported"
 
@@ -184,9 +184,11 @@ def get_action_and_value(self, x, action=None):
     # TRY NOT TO MODIFY: start the game
     global_step = 0
     start_time = time.time()
-    next_obs = torch.Tensor(envs.reset()).to(device)
+    next_obs, _ = envs.reset(seed=args.seed)
+    next_obs = torch.Tensor(next_obs).to(device)
     next_done = torch.zeros(args.num_envs).to(device)
     num_updates = args.total_timesteps // args.batch_size
+    video_filenames = set()
 
     for update in range(1, num_updates + 1):
         # Annealing the rate if instructed to do so.
@@ -208,16 +210,22 @@ def get_action_and_value(self, x, action=None):
             logprobs[step] = logprob
 
             # TRY NOT TO MODIFY: execute the game and log data.
-            next_obs, reward, done, info = envs.step(action.cpu().numpy())
+            next_obs, reward, terminated, truncated, infos = envs.step(action.cpu().numpy())
+            done = np.logical_or(terminated, truncated)
             rewards[step] = torch.tensor(reward).to(device).view(-1)
             next_obs, next_done = torch.Tensor(next_obs).to(device), torch.Tensor(done).to(device)
 
-            for item in info:
-                if "episode" in item.keys():
-                    print(f"global_step={global_step}, episodic_return={item['episode']['r']}")
-                    writer.add_scalar("charts/episodic_return", item["episode"]["r"], global_step)
-                    writer.add_scalar("charts/episodic_length", item["episode"]["l"], global_step)
-                    break
+            # Only print when at least 1 env is done
+            if "final_info" not in infos:
+                continue
+
+            for info in infos["final_info"]:
+                # Skip the envs that are not done
+                if info is None:
+                    continue
+                print(f"global_step={global_step}, episodic_return={info['episode']['r']}")
+                writer.add_scalar("charts/episodic_return", info["episode"]["r"], global_step)
+                writer.add_scalar("charts/episodic_length", info["episode"]["l"], global_step)
 
         # bootstrap value if not done
         with torch.no_grad():
@@ -314,5 +322,11 @@ def get_action_and_value(self, x, action=None):
         print("SPS:", int(global_step / (time.time() - start_time)))
         writer.add_scalar("charts/SPS", int(global_step / (time.time() - start_time)), global_step)
 
+        if args.track and args.capture_video:
+            for filename in os.listdir(f"videos/{run_name}"):
+                if filename not in video_filenames and filename.endswith(".mp4"):
+                    wandb.log({f"videos": wandb.Video(f"videos/{run_name}/{filename}")})
+                    video_filenames.add(filename)
+
     envs.close()
     writer.close()

cleanrl/ppo_continuous_action_isaacgym/isaacgym/pyproject.toml

@@ -24,4 +24,4 @@ ninja = "^1.10.2"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
+build-backend = "poetry.core.masonry.api"

docs/get-started/installation.md

@@ -76,7 +76,7 @@ You can install them using the following command
 ```bash
 poetry install --with atari
 poetry install --with pybullet
-poetry install --with mujoco
+poetry install --with mujoco_py
 poetry install --with procgen
 poetry install --with envpool
 poetry install --with pettingzoo
@@ -94,7 +94,7 @@ While we recommend using `poetry` to manage environments and dependencies, the t
 pip install -r requirements/requirements.txt
 pip install -r requirements/requirements-atari.txt
 pip install -r requirements/requirements-pybullet.txt
-pip install -r requirements/requirements-mujoco.txt
+pip install -r requirements/requirements-mujoco_py.txt
 pip install -r requirements/requirements-procgen.txt
 pip install -r requirements/requirements-envpool.txt
 pip install -r requirements/requirements-pettingzoo.txt