xmu-rl-3dv / RiskQ
☆11Updated 11 months ago
Alternatives and similar repositories for RiskQ:
Users that are interested in RiskQ are comparing it to the libraries listed below
- ☆12Updated 2 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆32Updated this week
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆21Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆87Updated 5 months ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆39Updated 3 months ago
- ☆28Updated 3 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆72Updated 2 years ago
- Synthetic Experience Replay☆86Updated 8 months ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆32Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆26Updated 2 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆33Updated 11 months ago
- ☆55Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated last year
- A PyTorch implementation of Implicit Q-Learning☆71Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆31Updated 2 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- CORRO code☆35Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆55Updated 8 months ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆45Updated 2 years ago