liuzuxin / DSRL
π₯ Datasets and env wrappers for offline safe reinforcement learning
β88Updated 7 months ago
Alternatives and similar repositories for DSRL:
Users that are interested in DSRL are comparing it to the libraries listed below
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.β61Updated 10 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.β66Updated last year
- π€ Elegant implementations of offline safe RL algorithms in PyTorchβ196Updated 7 months ago
- Author's PyTorch implementation of TD7 for online and offline RLβ141Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022β27Updated last year
- Implementations of safe reinforcement learning algorithmsβ26Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)β75Updated last year
- β71Updated last year
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.β37Updated last week
- π A fast safe reinforcement learning library in PyTorchβ183Updated 6 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"β69Updated 10 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"β95Updated 2 months ago
- Robust and safe deep reinforcement learning algorithmsβ13Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).β82Updated last year
- Implementations of SAILR, PDO, and CSCβ32Updated 9 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"β45Updated 3 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizatβ¦β34Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)β79Updated 4 months ago
- β55Updated 2 years ago
- β10Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPOβ167Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.β25Updated 2 weeks ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmarβ¦β124Updated last year
- Benchmarked implementations of Offline RL Algorithms.β73Updated last month
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learningβ24Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learningβ20Updated 2 years ago
- Synthetic Experience Replayβ91Updated 10 months ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"β11Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuningβ92Updated 8 months ago
- β95Updated last year