qianlin04 / Safe-offline-RL-with-diffusion-modelLinks
☆24Updated last year
Alternatives and similar repositories for Safe-offline-RL-with-diffusion-model
Users that are interested in Safe-offline-RL-with-diffusion-model are comparing it to the libraries listed below
Sorting:
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆57Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆30Updated 10 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay☆32Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆92Updated last year
- [ICLR 2024 Spotlight] Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆19Updated 11 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆112Updated 8 months ago
- ☆64Updated 3 months ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆45Updated last year
- [ICLR 2024] Official Implementation of ACORM☆61Updated last year
- ☆50Updated 3 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆38Updated 8 months ago
- ☆30Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- LLM-Empowered State Representation for Reinforcement Learning (ICML2024 Accepted paper)☆35Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated 10 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year
- ☆40Updated 3 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆36Updated last year
- [NeurIPS 2022] Official codebase for "Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learn…☆24Updated 8 months ago
- code for ROMANCE☆14Updated last year
- ☆61Updated 11 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated last year
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆59Updated last year
- ☆44Updated 3 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 last year