takuseno / d3rlpyLinks
An offline deep reinforcement learning library
☆1,570Updated last month
Alternatives and similar repositories for d3rlpy
Users that are interested in d3rlpy are comparing it to the libraries listed below
Sorting:
- A collection of reference environments for offline reinforcement learning☆1,591Updated 11 months ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,249Updated last year
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,029Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,610Updated 9 months ago
- Library for Model Based RL☆1,024Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,348Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆648Updated 3 weeks ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆710Updated 2 years ago
- PyTorch implementation of soft actor critic☆916Updated 3 months ago
- Imitation learning algorithms☆553Updated 7 months ago
- ☆1,266Updated last year
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,582Updated last week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,293Updated 7 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆640Updated 4 years ago
- Code for conservative Q-learning☆457Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆556Updated 2 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,599Updated 2 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆723Updated 2 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆859Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,033Updated 2 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆848Updated last year
- High throughput synchronous and asynchronous reinforcement learning☆945Updated 4 months ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆844Updated this week
- Collection of reinforcement learning algorithms☆2,790Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆967Updated 4 months ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆304Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,254Updated 4 years ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,109Updated last week