liuzuxin / OSRLLinks
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
☆212Updated last year
Alternatives and similar repositories for OSRL
Users that are interested in OSRL are comparing it to the libraries listed below
Sorting:
- 🚀 A fast safe reinforcement learning library in PyTorch☆216Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆105Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆149Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆200Updated 10 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆89Updated last year
- An elegant PyTorch offline reinforcement learning library for researchers.☆359Updated 2 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- Datasets with baselines for Offline MARL.☆180Updated last month
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆378Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago
- ☆284Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆225Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆331Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆360Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆168Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- ☆114Updated 2 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆497Updated last month
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆38Updated last year
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- ☆76Updated last year
- A collection of recent MARL papers☆96Updated 10 months ago