Readings & Reviews
These are the research papers (ang technical reviews written by me) that I read during the course on Advanced Reinforcement Learning in Spring 2023. They are arranged in decreasing order of recency of the publication.
Outracing champion Gran Turismo drivers with deep reinforcement learning
Authors: Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, and Hiroaki Kitano
Year: 2022
Review
On the Dangers of Stochastic Parrots:Can Language Models Be Too Big? 🦜
Authors: Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Year: 2021
Review
On the Expressivity of Markov Reward
Authors: David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, and Satinder Singh
Year: 2021
Review
Neural Thompson Sampling
Authors: Weitong Zhang, Dongruo Zhou, Lihong Li, and Quanquan Gu
Year: 2021
Review
A Tighter Analysis of Randomised Policy Iteration
Authors: Meet Taraviya and Shivaram Kalyanakrishnan
Year: 2019
Review
Neural Architecture Search with Reinforcement Learning
Authors: Barret Zoph and Quoc V. Le
Year: 2017
Review
Action Selection for Hammer Shots in Curling
Authors: Zaheen Farraz Ahmad, Robert C. Holte, and Michael Bowling
Year: 2016
Review
A Contextual-Bandit Approach to Personalized News Article Recommendation
Authors: Lihong Li, Wei Chu, John Langford, and Robert E. Schapire
Year: 2012
Review
Is it Enough to Get the Behaviour Right?
Authors: Hector J. Levesque
Year: 2009
Review
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
Authors: Arthur Guez, Robert D. Vincent, Massimo Avoli, and Joelle Pineau
Year: 2008
Review
Cross-Domain Transfer for Reinforcement Learning
Authors: Matthew E. Taylor and Peter Stone
Year: 2007
Review
Labeling Images with a Computer Game
Authors: Luis von Ahn and Laura Dabbish
Year: 2004
Review
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion
Authors: Nate Kohl and Peter Stone
Year: 2004
Review
Algorithms for Inverse Reinforcement Learning
Authors: Andrew Y. Ng and Stuart Russell
Year: 2000
Review
On the Complexity of Policy Iteration
Authors: Yishay Mansour and Satinder Singh
Year: 1999
Review