jbr-ai-labs / mambaLinks
This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".
☆56Updated 2 months ago
Alternatives and similar repositories for mamba
Users that are interested in mamba are comparing it to the libraries listed below
Sorting:
- The Starcraft Multi-Agent challenge lite☆42Updated 9 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 4 months ago
- Synthetic Experience Replay☆92Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆42Updated 7 months ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆13Updated last year
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆43Updated 3 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆145Updated last year
- Datasets with baselines for offline multi-agent reinforcement learning.☆172Updated last month
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆52Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆100Updated 7 months ago
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆40Updated 9 months ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- ☆28Updated 3 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆20Updated 3 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- ☆110Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated last year
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆92Updated last week
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- Overcooked human-AI experiment platform☆38Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆180Updated last year
- Official code repository for Prompt-DT.☆112Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 6 months ago
- ☆49Updated 3 years ago