[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
A Survey Analyzing Generalization in Deep Reinforcement Learning
Functional Reinforcement Learning in Scala.
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
Reinforcement Learning, Tutorials in Chinese
Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a curated list of resources for learning reinforcement learning, including courses, & tutorials from various providers.
A list of Reinforcement learning materials I have come across
Tabular Q learning to demonstrate sample OpenAI taxi V2 implementation in C++
Awesome Reinforcement Learning Research Resources
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
🦄 RL-Unicorn is a suite of RL algorithms made to run in a plug-and-play fashion. It also includes introductions to many topics in RL, notes of online RL MOOCs and a hand-written topic-wise guide.
AI-powered ad optimization using Reinforcement Learning and Groq API to maxim 5F5E ize click-through rates
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