Nasdin / ReinforcementLearning-AtariGameLinks
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
☆189Updated last year
Alternatives and similar repositories for ReinforcementLearning-AtariGame
Users that are interested in ReinforcementLearning-AtariGame are comparing it to the libraries listed below
Sorting:
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 11 months ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 7 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆217Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆372Updated last year
- Random Network Distillation pytorch☆252Updated 6 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- ☆91Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago