Hester, Todd

5 publications

MLJ 2021 Challenges of Real-World Reinforcement Learning: Definitions, Benchmarks and Analysis Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester

ICLR 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification Daniel J. Mankowitz, Nir Levine, Rae Jeong, Yuanyuan Shi, Jackie Kay, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy Mann, Todd Hester, Martin Riedmiller

ICMLW 2019 Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester

AAAI 2018 Deep Q-Learning from Demonstrations Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys

MLJ 2013 TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots Todd Hester, Peter Stone