Shmuma / ptan
PyTorch Agent Net: reinforcement learning toolkit for pytorch
☆529Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for ptan
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,107Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,222Updated 11 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆305Updated 4 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆654Updated 6 months ago
- TensorFlow2 Reinforcement Learning☆467Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆457Updated 7 months ago
- List of competitions related to Reinforcement Learning☆347Updated 10 months ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated 9 months ago
- A PyTorch Platform for Distributed RL☆738Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆710Updated 10 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆666Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆669Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆534Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,130Updated 11 months ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆558Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆615Updated last year
- PyTorch implementation of soft actor critic☆816Updated 3 years ago
- Structural implementation of RL key algorithms☆509Updated last year
- A PyTorch library for building deep reinforcement learning agents.☆646Updated 8 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆861Updated 3 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆598Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,256Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆529Updated 7 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 3 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆286Updated last year
- Soft Actor-Critic☆1,006Updated 11 months ago