ZhengYinan-AIR / OMIGALinks
[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"
☆39Updated 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".☆46Updated last year
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated last year
- ☆51Updated 3 years ago
- ☆58Updated last week
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 10 months ago
- ☆19Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated 2 years ago
- ☆58Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆110Updated last month
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- ☆37Updated 2 years ago
- ☆42Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆156Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 4 months ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆116Updated 10 months ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 9 months ago
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆15Updated 2 years ago
- ☆25Updated last year
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆47Updated 2 years ago
- ☆20Updated last year
- code for ROMANCE☆14Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆31Updated 2 years ago