a2c topic

PyTorch implementation of deep reinforcement learning algorithms

dongminlee94

A PyTorch library for building deep reinforcement learning agents.

cpnota

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Khrylx

A pytorch tutorial for DRL(Deep Reinforcement Learning)

sungyubkim

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

germain-hug

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

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

kengz

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

lcswillems

Reinforcement learning tutorials

pythonlessons

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

lcswillems