soft-actor-critic topic

A pytorch tutorial for DRL(Deep Reinforcement Learning)

sungyubkim

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Rafael1s

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

zuoxingdong

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

ikostrikov

PyTorch implementation of soft actor critic

pranz24

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

rail-berkeley

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

trackmania-rl

JAX implementations of core Deep RL algorithms

henry-prior

Combining deep learning and reinforcement learning.

arnomoonens

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

cyoon1729