xihuai18 / awesome-RL-generalizationLinks
A list of papers regarding generalization in (deep) reinforcement learning
☆11Updated last year
Alternatives and similar repositories for awesome-RL-generalization
Users that are interested in awesome-RL-generalization are comparing it to the libraries listed below
Sorting:
- Scalable Multi-Agent Reinforcement Learning☆12Updated 3 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 5 months ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- ☆26Updated 3 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- ☆28Updated 3 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆21Updated 3 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 3 years ago
- code for ROMANCE☆14Updated 7 months ago
- ☆17Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- ☆46Updated 2 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆28Updated 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
- Robust Reinforcement Learning Benchmark☆10Updated 8 months ago
- DecentralizedLearning☆24Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 3 months ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆12Updated 4 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆56Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago