astooke / rlpyt
Reinforcement Learning in PyTorch
☆2,245Updated 4 years ago
Alternatives and similar repositories for rlpyt:
Users that are interested in rlpyt are comparing it to the libraries listed below
- Collection of reinforcement learning algorithms☆2,619Updated 9 months ago
- A toolkit for reproducible reinforcement learning research.☆1,943Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,278Updated 11 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,059Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,608Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,273Updated last month
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,713Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,177Updated 4 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,949Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,926Updated 4 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,239Updated 2 years ago
- Library for Model Based RL☆987Updated 8 months ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆2,988Updated last year
- For deep RL and the future of AI.☆1,450Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,079Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,195Updated last month
- PFRL: a PyTorch-based deep reinforcement learning library☆1,222Updated 7 months ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,749Updated 7 months ago
- A PyTorch Platform for Distributed RL☆746Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,196Updated last week
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆999Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆892Updated 4 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆674Updated 4 years ago
- Python library for Reinforcement Learning.☆861Updated last month
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,599Updated last week
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,256Updated 5 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆3,976Updated this week
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,106Updated 7 years ago