PhDChe / Poker-1Links
Various explorations into the game of Poker using MCTS, NFSP, and image-recognition/web-scraping
☆12Updated 4 years ago
Alternatives and similar repositories for Poker-1
Users that are interested in Poker-1 are comparing it to the libraries listed below
Sorting:
- pytorch实现的一些MARL算法☆68Updated 4 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆161Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- Code for Weighted QMIX☆140Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆57Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- ☆102Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆68Updated 2 years ago
- This is the official implementation of Multi-Agent PPO.☆116Updated 2 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆78Updated 9 months ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 4 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- ☆216Updated 2 years ago
- The implement of the policy gradient RL algorithm with pytorch☆39Updated 4 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆271Updated 3 years ago
- ☆97Updated 4 years ago
- This is the official implementation of ERL-Re2.☆67Updated last year
- MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning☆14Updated 6 years ago
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆29Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆190Updated last year
- ☆168Updated last year
- Nash Q Learning☆32Updated 4 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- ☆49Updated 4 years ago