rail-berkeley / rlkitLinks
Collection of reinforcement learning algorithms
☆2,855Updated last year
Alternatives and similar repositories for rlkit
Users that are interested in rlkit are comparing it to the libraries listed below
Sorting:
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,400Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,875Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,030Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,074Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,277Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,399Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,330Updated 10 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,196Updated 3 years ago
- Soft Actor-Critic☆1,206Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,005Updated 4 months ago
- A collection of reference environments for offline reinforcement learning☆1,644Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- PyTorch implementation of soft actor critic☆933Updated 6 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,394Updated last month
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,314Updated 6 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,159Updated 4 years ago
- Python library for Reinforcement Learning.☆917Updated 6 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆991Updated 8 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,154Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,332Updated last week
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,039Updated 2 years ago
- For deep RL and the future of AI.☆1,503Updated last year
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,132Updated 2 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆727Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆692Updated last month
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,936Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,063Updated 3 years ago