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A collection of robotics simulation environments for reinforcement learning
An elegant PyTorch deep reinforcement learning library.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Clean PyTorch implementations of imitation and reward learning algorithms
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Python library for Reinforcement Learning.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
The Fastest Deep Reinforcement Learning Library