dennybritz / reinforcement-learningLinks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
☆21,570Updated 2 years ago
Alternatives and similar repositories for reinforcement-learning
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Python Implementation of Reinforcement Learning: An Introduction☆14,290Updated last year
- Reinforcement learning resources curated☆9,284Updated 2 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,102Updated last year
- Deep Reinforcement Learning for Keras.☆5,556Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,874Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,577Updated 2 years ago
- Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学☆9,299Updated last year
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,877Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,429Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,344Updated last year
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,367Updated 5 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,023Updated 4 months ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,803Updated 10 months ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,222Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,005Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,127Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,309Updated 3 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,315Updated last year
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,665Updated 2 weeks ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,478Updated last year
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,255Updated 6 years ago
- Assignments for CS294-112.☆1,615Updated 2 years ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆36,492Updated 11 months ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,547Updated 6 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- Deep Learning and Reinforcement Learning Library for Scientists and Engineers☆7,374Updated 2 years ago
- A list of recent papers regarding deep reinforcement learning☆2,200Updated 9 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,260Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,829Updated 3 years ago
- Summaries and notes on Deep Learning research papers☆4,421Updated 7 years ago