Jiankai-Sun / Proximal-Policy-Optimization-PytorchLinks
Proximal Policy Optimization(PPO) Algorithm and its distributed implementation in Pytorch
☆15Updated 7 years ago
Alternatives and similar repositories for Proximal-Policy-Optimization-Pytorch
Users that are interested in Proximal-Policy-Optimization-Pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆86Updated 7 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 8 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆38Updated 6 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 7 years ago
- ☆122Updated 2 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- ☆53Updated 6 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 8 years ago
- FEN Code☆38Updated 5 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆82Updated 6 years ago
- Implement PPO-clip and PPO-penalty on Atari, which is the only open source of PPO-penalty☆56Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆184Updated 7 years ago
- ☆138Updated 6 years ago
- Random Network Distillation(RND) algo in Pytorch☆50Updated 6 years ago
- Constrained Policy Optimization☆325Updated 8 years ago