qianlin04 / Safe-offline-RL-with-diffusion-model
☆18Updated 4 months ago
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
- Implementations of safe reinforcement learning algorithms☆24Updated 10 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆83Updated this week
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆52Updated 7 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆31Updated 10 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆38Updated 2 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆84Updated 4 months ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated last week
- ☆42Updated 2 years ago
- Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆13Updated last month
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆14Updated 9 months ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 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").☆28Updated last year
- CORRO code☆34Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆32Updated 7 months ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- ☆87Updated last year
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆30Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆51Updated 2 weeks ago
- ☆36Updated last year
- ☆57Updated 2 months ago
- ☆11Updated 10 months ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆45Updated last year
- code for ROMANCE☆13Updated 3 months ago
- Implementation of SAC and TD3 based on various RNN and Transformer.☆18Updated 3 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆52Updated 8 months ago