qianlin04 / Safe-offline-RL-with-diffusion-model
☆15Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for Safe-offline-RL-with-diffusion-model
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆70Updated 2 months ago
- Implementations of safe reinforcement learning algorithms☆21Updated 8 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆51Updated 5 months ago
- Implementation of SAC and TD3 based on various RNN and Transformer.☆13Updated last month
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆30Updated 8 months ago
- ☆11Updated 8 months ago
- ☆40Updated last week
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆73Updated 11 months ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆42Updated 3 weeks ago
- Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆11Updated 10 months ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆54Updated 10 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆26Updated 5 months ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆38Updated 3 weeks ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated 3 weeks ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆26Updated last year
- ☆39Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆41Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆76Updated 2 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆55Updated 10 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆65Updated last year
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- Model-based Offline Policy Optimization re-implement all by pytorch☆27Updated last year
- Synthetic Experience Replay☆74Updated 5 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆48Updated last year
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆13Updated 9 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆62Updated last year
- ☆76Updated last year
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆26Updated 11 months ago