Shmuma / ptan
PyTorch Agent Net: reinforcement learning toolkit for pytorch
☆539Updated 3 months ago
Alternatives and similar repositories for ptan:
Users that are interested in ptan are comparing it to the libraries listed below
- Prioritized Experience Replay (PER) implementation in PyTorch☆312Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,139Updated 3 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆463Updated 9 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,056Updated 3 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated 11 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp …☆1,257Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆672Updated 4 years ago
- Structural implementation of RL key algorithms☆510Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 3 years ago
- Soft Actor-Critic☆1,035Updated last year
- A PyTorch Platform for Distributed RL☆746Updated 3 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,242Updated 5 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,263Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆540Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆666Updated 8 months ago
- Simple A3C implementation with pytorch + multiprocessing☆624Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆543Updated 7 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,599Updated 3 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆887Updated 3 weeks ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆632Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,151Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆681Updated last year
- PyTorch implementation of soft actor critic☆848Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆479Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆728Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,164Updated last year
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆442Updated 5 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆435Updated 6 years ago