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SAC, PPO, A2C implementation on Mujoco environments : Humanoid-v4, Ant-v4, Cheetah-v4 . Includes reward manipulation.
An elegant PyTorch deep reinforcement learning library.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Massively Parallel Deep Reinforcement Learning. ?
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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