Alternatives and similar repositories for oreilly-rl-tutorial

Users that are interested in oreilly-rl-tutorial are comparing it to the libraries listed below

• awjuliani / dfp
  Reinforcement Learning with Goals
  ☆170Updated 5 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆326Updated 7 years ago
• kvfrans / openai-cartpole
  random search, hill climbing, policy gradient
  ☆145Updated 6 years ago
• txizzle / drl
  Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
  ☆140Updated 8 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆91Updated 8 years ago
• 0bserver07 / Study-Reinforcement-Learning
  Studying Reinforcement Learning Guide
  ☆151Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• Scitator / rl-course-experiments
  ☆77Updated 8 years ago
• wagonhelm / Reinforcement-Learning-Introduction
  Code from my blog post & online course
  ☆55Updated 6 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆227Updated 7 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆299Updated 6 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆552Updated 6 years ago
• ceobillionaire / WHAT-AI-CAN-DO-FOR-YOU
  Breakthrough AI Papers and CODE for Any Industry.
  ☆244Updated 8 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆165Updated 8 years ago
• llSourcell / How-to-Learn-from-Little-Data
  This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
  ☆140Updated 8 years ago
• llSourcell / Generative_Adversarial_networks_LIVE
  ☆110Updated 8 years ago
• outlace / outlace.github.io
  Machine learning and data science blog.
  ☆69Updated last year
• adeshpande3 / Generative-Adversarial-Networks
  Tutorial on GANs
  ☆292Updated 8 years ago
• floodsung / DQN-Atari-Tensorflow
  Simplest Version of playing Atari with Deep Q Learning in Tensorflow
  ☆158Updated 7 years ago
• louishenrifranc / Tensorflow-Cheatsheet
  My personal reference for Tensorflow
  ☆153Updated 8 years ago
• 5vision / deep-reinforcement-learning-networks
  A list of deep neural network architectures for reinforcement learning tasks.
  ☆170Updated 9 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆62Updated 7 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated 2 years ago
• llSourcell / alphago_demo
  This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube
  ☆121Updated 7 years ago
• vinhkhuc / PyTorch-Mini-Tutorials
  Minimal tutorials for PyTorch
  ☆329Updated 4 years ago
• andrewliao11 / Deep-Reinforcement-Learning-Survey
  My Exploration on Deep Reinforcement Learning Survey
  ☆432Updated 7 years ago
• awjuliani / TF-Tutorials
  A collection of deep learning tutorials using Tensorflow and Python
  ☆522Updated 8 years ago
• keon / policy-gradient
  Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
  ☆160Updated 5 years ago