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.☆173Updated last month
- Partially Observable Process Gym☆209Updated 6 months ago
- A tool for aggregating and plotting MARL experiment data.☆80Updated 11 months ago
- Datasets with baselines for Offline MARL.☆194Updated last month
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated 2 months ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆157Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆199Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆341Updated last year
- ☆246Updated last year
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆85Updated last year
- Gridworld for MARL experiments☆144Updated 4 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆53Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆140Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆225Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago
- ☆202Updated 2 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆47Updated 9 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- The Starcraft Multi-Agent challenge lite☆43Updated last year
- PyTorch implementation of DreamerV2 model-based RL algorithm☆236Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆157Updated 2 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆71Updated 4 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆34Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆321Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆330Updated 2 years ago
- Representation Learning for RL☆129Updated 2 years ago
- ☆73Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 years ago