floodsung / a2c_cartpole_pytorch
advantage actor-critic reinforcement learning for openai gym cartpole
☆65Updated 7 years ago
Alternatives and similar repositories for a2c_cartpole_pytorch
Users that are interested in a2c_cartpole_pytorch are comparing it to the libraries listed below
Sorting:
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- FEN Code☆37Updated 5 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 8 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- ☆97Updated 4 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Implement PPO-clip and PPO-penalty on Atari, which is the only open source of PPO-penalty☆56Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆84Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 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
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆131Updated last year
- ☆52Updated 6 years ago
- reproduce some RL or Multi-Agent models☆35Updated 5 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- Constrained Policy Optimization☆320Updated 7 years ago