cardwing / Codes-for-RL-PERLinks
A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
☆50Updated 7 years ago
Alternatives and similar repositories for Codes-for-RL-PER
Users that are interested in Codes-for-RL-PER are comparing it to the libraries listed below
Sorting:
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 9 months ago
- ☆48Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆22Updated 4 years ago
- ☆54Updated 6 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- The code for maddpg using pytorch☆169Updated 5 years ago
- The implement of the policy gradient RL algorithm with pytorch☆40Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Code for Weighted QMIX☆144Updated 5 years ago
- ☆90Updated 4 years ago
- There will be updates later☆87Updated 6 years ago
- My DRL library with tensorflow1.14 based on openai spinning-up☆63Updated 4 years ago
- ☆76Updated 6 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆223Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning☆13Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 6 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆61Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆55Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- pytorch实现的一些MARL算法☆68Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆96Updated last year
- DSAC; Distributional Soft Actor-Critic☆134Updated 9 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- The implement of all kinds of dqn reinforcement learning with Pytorch☆95Updated 4 years ago
- an implementation of ATOC☆14Updated 4 years ago