Rich Sutton: Reinforcement Learning is the Computational Theory of Intelligence

Jan 14, 2021

|

110 views

Montreal.AI

Reinforcement Learning

Details

AI DEBATE 2: Rich Sutton’s Remark “Reinforcement Learning is the Computational Theory of Intelligence” Official AI Debate 2 WebPage: https://montrealartificialintelligence.com/aidebate2/ MONTREAL.AI Debates Series #AIDebate #AIDebate2 #MontrealAI

Category: Research Talk

Comments

loading...

Reactions (0) | Note

📝 No reactions yet

Be the first one to share your thoughts!

Reactions(0)

Note

loading...

Recommended

ICAPS 2014: Tutorial by Siddharth Srivastava on "Task and Motion Planning for Robots..."

ICAPS | Apr 15, 2015

ICAPS 2014: Carmel Domshlak on "The Complexity of Optimal Monotonic Planning: The Bad, The ..."

ICAPS | Apr 16, 2015

ICAPS 2014: Xing Tan on "The Complexity of Partial-Order Plan Viability Problems"

ICAPS | Apr 16, 2015

ICAPS 2014: Nir Lipovetzky and Christina Burt on "Planning for Mining Operations with Time and ..."

ICAPS | Apr 16, 2015

ICAPS 2014: Christopher Expósito-Izquierdo on "Optimization Model and Heuristic Approach for ..."

ICAPS | Apr 16, 2015