brynhayder / reinforcement_learning_an_introductionLinks
Notes and exercise solutions for second edition of Sutton & Barto's book
☆395Updated 2 years ago
Alternatives and similar repositories for reinforcement_learning_an_introduction
Users that are interested in reinforcement_learning_an_introduction are comparing it to the libraries listed below
Sorting:
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆389Updated 2 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆157Updated 4 years ago
- Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]☆285Updated 4 years ago
- Solutions of Reinforcement Learning, An Introduction☆2,296Updated 2 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,278Updated 6 months ago
- The RL discord wiki☆256Updated 4 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆766Updated 6 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆250Updated 4 years ago
- Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)☆159Updated 5 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆830Updated 3 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆169Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- A curated list of awesome Deep Reinforcement Learning resources.☆809Updated 2 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆706Updated 2 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆963Updated 3 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆309Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆702Updated last year
- Solutions to Sutton and Barto book exercises☆96Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆683Updated 4 years ago
- 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…☆939Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆341Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- PyTorch implementation of soft actor critic☆905Updated 2 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,344Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,249Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆763Updated last year