instadeepai / og-marl
Datasets with baselines for offline multi-agent reinforcement learning.
β161Updated this week
Alternatives and similar repositories for og-marl:
Users that are interested in og-marl are comparing it to the libraries listed below
- Level-based Foraging (LBF): A multi-agent environment for RLβ174Updated 5 months ago
- Author's PyTorch implementation of TD7 for online and offline RLβ134Updated last year
- π€ Elegant implementations of offline safe RL algorithms in PyTorchβ194Updated 6 months ago
- The Starcraft Multi-Agent challenge liteβ42Updated 6 months ago
- β236Updated last year
- A tool for aggregating and plotting MARL experiment data.β73Updated last month
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016β122Updated 7 months ago
- Prioritized Experience Replay implementation with proportional prioritizationβ76Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environmentβ42Updated 5 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).β161Updated 10 months ago
- π A fast safe reinforcement learning library in PyTorchβ175Updated 5 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learningβ160Updated 8 months ago
- Multi-objective Gymnasium environments for reinforcement learningβ309Updated last week
- β196Updated last year
- A collection of recent MARL papersβ86Updated 3 months ago
- Baseline implementation of recurrent PPO using truncated BPTTβ137Updated 10 months ago
- Clean baseline implementation of PPO using an episodic TransformerXL memoryβ169Updated 8 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPOβ165Updated 2 years ago
- β108Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and coβ¦β132Updated 10 months ago
- A collection of offline reinforcement learning algorithms.β174Updated 3 months ago
- This is the official implementation of Multi-Agent PPO.β105Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).β82Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.β84Updated last year
- Benchmarks for Multi-Objective Multi-Agent Decision Makingβ83Updated last month
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papersβ50Updated 2 years ago
- β217Updated 3 months ago
- π₯ Datasets and env wrappers for offline safe reinforcement learningβ88Updated 6 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPβ¦β108Updated last year
- There will be updates laterβ84Updated 5 years ago