tinkoff-ai / CORLLinks
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
☆1,226Updated last year
Alternatives and similar repositories for CORL
Users that are interested in CORL are comparing it to the libraries listed below
Sorting:
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆567Updated last year
- A collection of reference environments for offline reinforcement learning☆1,531Updated 8 months ago
- An offline deep reinforcement learning library☆1,512Updated last month
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,539Updated 6 months ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆809Updated last year
- An index of algorithms for offline reinforcement learning (offline-rl)☆998Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆622Updated last month
- ☆1,205Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,267Updated 4 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆695Updated 2 years ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆453Updated 3 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆349Updated last week
- The repository is for safe reinforcement learning baselines.☆662Updated 3 months ago
- Code for conservative Q-learning☆450Updated 3 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- High throughput synchronous and asynchronous reinforcement learning☆921Updated last month
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆408Updated last month
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆689Updated 2 years ago
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆477Updated 3 weeks ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆554Updated 3 years ago
- Library for Model Based RL☆1,007Updated last year
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,507Updated this week
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆363Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,318Updated last year
- Imitation learning algorithms☆538Updated 3 months ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆474Updated 4 months ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆431Updated 3 weeks ago
- PyTorch implementation of soft actor critic☆895Updated last week
- Implementation of Dreamer v3 in pytorch.☆599Updated 9 months ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆405Updated this week