oxwhirl / smacv2Links
☆263Updated last year
Alternatives and similar repositories for smacv2
Users that are interested in smacv2 are comparing it to the libraries listed below
Sorting:
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆622Updated 11 months ago
- ☆217Updated 2 years ago
- ☆430Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆191Updated 11 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆161Updated last year
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆460Updated last month
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆48Updated 11 months ago
- Datasets with baselines for Offline MARL.☆177Updated 2 weeks ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- This is the official implementation of Multi-Agent PPO.☆116Updated 2 years ago
- Code for Weighted QMIX☆138Updated 4 years ago
- ☆97Updated 4 years ago
- ☆102Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆499Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆271Updated 2 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆489Updated last week
- There will be updates later☆84Updated 6 years ago
- A plotter for reinforcement learning (RL)☆231Updated 3 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆309Updated last year
- An elegant PyTorch offline reinforcement learning library for researchers.☆356Updated 2 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆341Updated 2 months ago
- A collection of multi agent environments based on OpenAI gym.☆614Updated last year
- A collection of offline reinforcement learning algorithms.☆197Updated 9 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆133Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆186Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆533Updated last year