quantumiracle / MARSLinks
MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
☆49Updated last year
Alternatives and similar repositories for MARS
Users that are interested in MARS are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆50Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 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 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- DecentralizedLearning☆25Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 7 months ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆83Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆83Updated 2 years ago
- ☆31Updated 4 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆54Updated last year
- ☆20Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 9 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated this week
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- curriculum☆26Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆56Updated last year
- An unofficial implementation for online decision transformer☆40Updated 3 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆22Updated 3 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 3 years ago