gordicaleksa / pytorch-learn-reinforcement-learning
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
☆154Updated 3 years ago
Alternatives and similar repositories for pytorch-learn-reinforcement-learning:
Users that are interested in pytorch-learn-reinforcement-learning are comparing it to the libraries listed below
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆137Updated 2 years ago
- Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]☆279Updated 4 years ago
- From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..☆230Updated 10 months ago
- ☆28Updated 2 years ago
- The RL discord wiki☆251Updated 4 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆167Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆190Updated 2 years ago
- ☆95Updated 4 years ago
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆412Updated 4 years ago
- A curated collection of reinforcement learning resources☆89Updated last year
- Reinforcement Learning Algorithms with Python, Published by Packt☆183Updated 2 years ago
- ☆95Updated 4 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆251Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆222Updated 3 months ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆122Updated 5 years ago
- ☆395Updated last year
- Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.☆398Updated 2 years ago
- ☆185Updated 3 years ago
- Reinforcement learning tutorials☆376Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenA…☆24Updated 4 years ago
- Stanford CS234: Reinforcement Learning Winter 2020☆19Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- Stanford CS234: Reinforcement Learning assignments and practices☆49Updated 8 months ago
- ☆39Updated 4 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆472Updated last year
- Single notebook implementation of Deep RL algorithms☆32Updated 4 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆53Updated 4 years ago