proroklab / rllib_differentiable_commsLinks
This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a reference implementation and starting point for making RLLib more compatible with such architectures.
☆43Updated 2 years ago
Alternatives and similar repositories for rllib_differentiable_comms
Users that are interested in rllib_differentiable_comms are comparing it to the libraries listed below
Sorting:
- Benchmarking RL generalization in an interpretable way.☆174Updated 2 months ago
- A tool for aggregating and plotting MARL experiment data.☆82Updated 2 weeks ago
- Partially Observable Process Gym☆212Updated 8 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated 3 months ago
- ☆250Updated last year
- Datasets with baselines for Offline MARL.☆203Updated 3 months ago
- Lightweight multi-agent gridworld Gym environment☆213Updated 2 years ago
- Gridworld for MARL experiments☆144Updated 5 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆202Updated last year
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆157Updated 2 years ago
- The Starcraft Multi-Agent challenge lite☆47Updated last year
- This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".☆64Updated 10 months ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆55Updated last year
- ☆202Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆143Updated last year
- Repo for the multi-agent PressurePlate environment☆17Updated 4 years ago
- ☆47Updated last year
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆89Updated last year
- Offline Reinforcement Learning Reading Group☆28Updated 3 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆51Updated 10 months ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆20Updated 3 years ago
- ☆73Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆104Updated 3 years ago
- ☆32Updated 4 years ago
- PyTorch implementation of DreamerV2 model-based RL algorithm☆236Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆143Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 11 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆198Updated 2 years ago