eugene / pommermanLinks
Bomberman deep reinforcement learning challenge in PyTorch
☆25Updated 6 years ago
Alternatives and similar repositories for pommerman
Users that are interested in pommerman are comparing it to the libraries listed below
Sorting:
- Multi-Agent Determinantal Q-Learning☆44Updated 3 years ago
- ☆78Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 5 months ago
- Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"☆37Updated 6 years ago
- ☆132Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- ☆76Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- papers about reinforcement learning☆13Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆84Updated 2 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 3 years ago
- Environments with IC3Net paper☆13Updated 6 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆32Updated 7 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆166Updated 2 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- ☆62Updated 7 years 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
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- Soft Actor-Critic with advanced features☆51Updated last month
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago