AndersonJo / dqn-pytorch
Deep Q Learning via Pytorch
☆86Updated 7 years ago
Alternatives and similar repositories for dqn-pytorch:
Users that are interested in dqn-pytorch are comparing it to the libraries listed below
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆136Updated 11 months ago
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- A PyTorch implementation of Rainbow DQN agent☆169Updated 6 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- ☆69Updated 6 years ago
- implement of prioritized experience replay☆160Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 5 months ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆104Updated 5 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 6 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- A customizable framework to create maze and gridworld environments☆263Updated 5 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Reinforcement Learning in Keras on VizDoom☆146Updated 7 years ago
- Simple grid-world environment compatible with OpenAI-gym☆49Updated 5 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆207Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago