From Zero to Master in Hours: AlphaZero Accelerates Reinforcement Learning

Google’s DeepMind has once again surprised the machine learning community, this time with the introduction of AlphaZero — a new algorithm that can quickly surpass human board game performance through reinforcement learning self-play. It was was just two months that DeepMind published their Nature paper on AlphaGo Zero, which mastered the game of Go in

Reinforcement Learning, Fast and Slow: Trends in Cognitive Sciences

A Journey to Reinforcement Learning

From Zero to Master in Hours: AlphaZero Accelerates Reinforcement Learning, by Synced, SyncedReview

Reinforcement Learning with Hindsight Experience Replay, by Or Rivlin

PDF] Accelerating and Improving AlphaZero Using Population Based Training

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects in: IMF Working Papers Volume 2022 Issue 259 (2022)

Charting a business course for reinforcement learning

PDF) A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Reinforcement Learning Reading Group – Page 3 – Reinforcement Learning Reading Group for the Parr Group and Associates

From Zero to Master in Hours: AlphaZero Accelerates Reinforcement Learning

AlphaZero, a novel Reinforcement Learning Algorithm, in JavaScript, by Carlos Aguayo

Reinforcement Learning, Fast and Slow: Trends in Cognitive Sciences

What is Reinforcement Learning? – Overview of How it Works