Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Updated
Jun 30, 2020 - Jupyter Notebook
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Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
A Universal Deep Reinforcement Learning Framework
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Model-based Policy Gradients
Projects for The School of AI
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Project 2 of Udacity Deep Reinforcement Learning Nanodegree
Self Play Actor Critic, Reinforcement Learning on TROY; all puns intended
Exploring the fundamentals of neural networks
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