Reinforcement Learning
Causal Reinforcement Learning - Slides
November, 2020
Slides for "Causal Reinforcement Learning" (CRL) by Elias Bareinboim
Tutorial Overview
Causal Campbell-Goodhart's law and Reinforcement Learning
November, 2020
Abstract
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Inferring and Executing Programs for Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
May, 2017
Abstract:
TensorFlow Tutorial - Reinforcement Learning
Notes by Magnus Erik Hvass Pedersen: https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/16_Reinfo...
Human-level Control Through Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis
Abstract:
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning
Steven Stenberg Hansen
May, 2017
Abstract:
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
February 2017
Abstract:
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, Xi Chen, Ilya Sutskever
March 2017
Abstract: