ShangtongZhang / reinforcement-learning-an-introductionLinks
Python Implementation of Reinforcement Learning: An Introduction
☆14,491Updated last year
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:
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,797Updated 2 years ago
- Reinforcement learning resources curated☆9,532Updated 2 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,141Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,396Updated last year
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,897Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,610Updated 2 years ago
- Solutions of Reinforcement Learning, An Introduction☆2,364Updated 6 months ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,914Updated last year
- Hands-on Deep Reinforcement Learning, published by Packt☆3,064Updated 3 weeks ago
- Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学☆9,414Updated last year
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,618Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,156Updated 4 years ago
- A list of recent papers regarding deep reinforcement learning☆2,201Updated 9 years ago
- Deep Reinforcement Learning for Keras.☆5,558Updated 2 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,664Updated last month
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,516Updated last year
- Assignments for CS294-112.☆1,644Updated 2 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,836Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,038Updated 2 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,570Updated 6 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,271Updated 6 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,522Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,313Updated last year
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,200Updated 2 years ago
- 中文整理的强化学习资料(Reinforcement Learning)☆2,126Updated 5 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,552Updated 3 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,535Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,125Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,871Updated 3 years ago