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Supercharged Isaac Gym environments with multi-agent and multi-algorithm support

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IsaacGymMultiAgent

Supercharged Isaac Gym environments with multi-agent and multi-algorithm support

Requirements

Optional:

Installation

cd IsaacGymMultiAgent
pip3 install -e .

Usage

Training

Run IsaacGymEnvs experiments (rl_games PPO implementation)

cd examples/original
python3 train.py task=Ant

Run legged_gym experiments (rsl_rl PPO implementation)

cd examples/rsl_rl
python3 train.py task=a1

Run legged_gym environments with rl_games PPO

cd examples/original
python3 train.py task=LeggedGymA1

Run IsaacGym environments with rsl_rl PPO

cd examples/rsl_rl
python3 train.py task=Ant

Run IsaacGym environments with stable-baselines3 PPO

cd examples/sb3
python3 train.py task=Ant train=sb3ppo

Playing

cd examples/original
python3 train.py task=Ant test=True headless=False checkpoint=path/to/checkpoint.pt

Rendering

Supported displays:

  • VNC: Tested on tigervnc-standalone-server
  • Alternatives: Xvfb, VirtualGL, etc.

Add headless=False to enable rendering

export DISPLAY=:1
python train.py ... headless=False

List of Environments

Name Description
LeggedGymA1 wrapped legged_gym environment for Unitree A1 (a1)
LeggedGymAnymalCRough wrapped legged_gym env (anymal_c_rough)
LeggedGymAnymalCFlat wrapped legged_gym env (anymal_c_flat)
LeggedGymAnymalB wrapped legged_gym env (anymal_b)
LeggedGymCassie wrapped legged_gym env (cassie)
BallJoust
QuadcopterJoust

Troubleshooting

ImportError: libpython3.7m.so.1.0: cannot open shared object file: No such file or directory

Add the python library path to LD_LIBRARY_PATH

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/python/lib

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Supercharged Isaac Gym environments with multi-agent and multi-algorithm support

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