ZhengYinan-AIR / OMIGALinks
[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"
β39Updated last year
Alternatives and similar repositories for OMIGA
Users that are interested in OMIGA are comparing it to the libraries listed below
Sorting:
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".β45Updated 11 months ago
- π₯ Datasets and env wrappers for offline safe reinforcement learningβ107Updated last year
- β18Updated last year
- β50Updated 3 years ago
- β54Updated 3 months ago
- β36Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learningβ36Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.β38Updated 8 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for Dβ¦β18Updated 11 months ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").β33Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.β66Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023β33Updated 10 months ago
- β57Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)β60Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RLβ151Updated 2 years ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"β110Updated 8 months ago
- β114Updated 2 years ago
- β43Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)β59Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPSβ¦β74Updated 3 years ago
- A PyTorch implementation of Implicit Q-Learningβ87Updated 4 years ago
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)β16Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.β68Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learningβ28Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).β90Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022β30Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"β35Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.β26Updated 2 months ago
- β23Updated last year
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.β71Updated 2 months ago