elliottower / gobblet-rlLinks
Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.
☆12Updated 2 years ago
Alternatives and similar repositories for gobblet-rl
Users that are interested in gobblet-rl are comparing it to the libraries listed below
Sorting:
- RLlib tutorials☆66Updated 4 years ago
- Model-Based RL Demo for Pendulum-v0☆13Updated 5 years ago
- Resolving quadratic assignment problem with genetic algorithm☆14Updated 7 years ago
- Datasets with baselines for Offline MARL.☆203Updated 3 months ago
- The official code releasement of publications in MARL field of TJU RL lab.☆87Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆202Updated last year
- Example code for the Gym documentation☆73Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆157Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆549Updated 2 years ago
- Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"☆58Updated 6 years ago
- An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks☆41Updated 2 months ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Gridworld environments for OpenAI gym.☆79Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆76Updated 2 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆355Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆335Updated 4 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆164Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆612Updated 8 years ago
- ☆292Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆686Updated last year
- This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralize…☆43Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆415Updated 5 years ago
- ☆222Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆527Updated 2 years ago
- PPO with multi-head/autoregressive action outputs☆45Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆220Updated last year
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆562Updated this week
- The implement of all kinds of dqn reinforcement learning with Pytorch☆96Updated 4 years ago