junming-yang / mopo
Model-based Offline Policy Optimization re-implement all by pytorch
☆30Updated last year
Alternatives and similar repositories for mopo:
Users that are interested in mopo are comparing it to the libraries listed below
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated 3 weeks ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated last year
- CORRO code☆34Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆124Updated last year
- ☆35Updated 2 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆38Updated 2 months ago
- ☆42Updated 2 years ago
- Meta RL codebase for Unstable Baselines☆21Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆84Updated 4 months ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆68Updated last year
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆17Updated 9 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆52Updated 9 months ago
- ☆29Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆31Updated 10 months ago
- ☆53Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆53Updated 7 months ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆26Updated last year
- Synthetic Experience Replay☆84Updated 8 months ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆17Updated 2 months ago
- A PyTorch implementation of Implicit Q-Learning☆71Updated 3 years ago
- Implementation of SAC and TD3 based on various RNN and Transformer.☆18Updated 4 months ago
- ☆40Updated last week
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆28Updated last year
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆83Updated this week
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year