cheetah-robot-ppo

An elegant PyTorch deep reinforcement learning library.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Reinforcement Learning environments based on the 1993 game Doom :godmode:

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Clean PyTorch implementations of imitation and reward learning algorithms

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.