Shmuma / ptanLinks
PyTorch Agent Net: reinforcement learning toolkit for pytorch
☆546Updated 10 months ago
Alternatives and similar repositories for ptan
Users that are interested in ptan are comparing it to the libraries listed below
Sorting:
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,181Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,298Updated this week
- Structural implementation of RL key algorithms☆514Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆349Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆682Updated 4 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆700Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,332Updated last year
- List of competitions related to Reinforcement Learning☆350Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆475Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆702Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,642Updated 3 years ago
- A PyTorch Platform for Distributed RL☆750Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,240Updated 4 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆495Updated 3 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆301Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆554Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆713Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆371Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,284Updated 5 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆446Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆908Updated 4 years ago
- A PyTorch library for building deep reinforcement learning agents.☆649Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆414Updated 4 years ago
- Tensorflow implementation of Deepminds dqn with double dueling networks☆216Updated 5 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆957Updated 3 months ago