brynhayder / reinforcement_learning_an_introduction
Notes and exercise solutions for second edition of Sutton & Barto's book
☆364Updated 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
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆157Updated 4 years ago
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆356Updated last year
- The RL discord wiki☆246Updated 4 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆480Updated 2 years ago
- ☆91Updated 4 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆166Updated last year
- Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]☆270Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 3 years ago
- Solutions of Reinforcement Learning, An Introduction☆2,096Updated 8 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆632Updated 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
- Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)☆154Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆326Updated last year
- PyTorch implementation of soft actor critic☆848Updated 3 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆447Updated 3 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆791Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆415Updated 3 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆651Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆584Updated 6 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆605Updated 3 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆253Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆728Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆681Updated last year
- A curated list of awesome Deep Reinforcement Learning resources.☆713Updated 5 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,056Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆312Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,257Updated last year
- ☆182Updated 2 years ago
- Solutions to Sutton and Barto book exercises☆57Updated 10 months ago