TianhongDai / distributed-ppo
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
☆62Updated 6 years ago
Alternatives and similar repositories for distributed-ppo:
Users that are interested in distributed-ppo are comparing it to the libraries listed below
- ☆52Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 5 years ago
- MADDPG in Ray/RLlib☆50Updated 5 years ago
- ☆120Updated last year
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆115Updated 2 months ago
- There will be updates later☆83Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆100Updated 4 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆109Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 5 years ago
- ☆32Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆80Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆71Updated 7 months ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 3 years ago
- ☆21Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- ☆47Updated 3 years ago
- ☆73Updated 5 years ago
- ☆42Updated 3 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆128Updated last year