liuzuxin / OSRLLinks
π€ Elegant implementations of offline safe RL algorithms in PyTorch
β230Updated last year
Alternatives and similar repositories for OSRL
Users that are interested in OSRL are comparing it to the libraries listed below
Sorting:
- π A fast safe reinforcement learning library in PyTorchβ233Updated last year
- π₯ Datasets and env wrappers for offline safe reinforcement learningβ116Updated 2 months ago
- Author's PyTorch implementation of TD7 for online and offline RLβ159Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPOβ183Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).β94Updated 2 years ago
- A collection of offline reinforcement learning algorithms.β208Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.β176Updated last year
- Datasets with baselines for Offline MARL.β198Updated 2 months ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and coβ¦β146Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RLβ385Updated 4 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.β381Updated 6 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)β62Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.β237Updated 5 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)β81Updated 2 years ago
- β306Updated 3 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithmsβ391Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learningβ170Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (teβ¦β175Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memoryβ200Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.β70Updated last year
- Model-based Offline Policy Optimization re-implement all by pytorchβ38Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.β71Updated 2 years ago
- Conservative Q Learning on top of SACβ136Updated 3 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmarkβ530Updated last month
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016β141Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.β85Updated 2 years ago
- DSAC; Distributional Soft Actor-Criticβ136Updated 11 months ago
- Transformer in RL for decision-makingβ103Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022β341Updated last year
- β47Updated 3 years ago