mujoco topic
lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
pytorch-REINFORCE
PyTorch Implementation of REINFORCE for both discrete & continuous control
Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
myosuite
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
mjrl
Reinforcement learning algorithms for MuJoCo tasks
Deep-Reinforcement-Learning-CS285-Pytorch
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
jax-rl
JAX implementations of core Deep RL algorithms
mujoco-benchmark
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
trajopt
Trajectory optimization algorithms for robotic control.