Delegative Reinforcement Learning: learning to avoid traps with a little help

Regret analysis of stochastic and nonstochastic multi-armed bandit problems

Sébastien Bubeck and Nicolò Cesa-Bianchi · 1935

Earlier work this paper cites.

On integrating apprentice learning and reinforcement learning

J. Clouse · 1997

Earlier work this paper cites.

Handbook of Markov Decision Processes

Eugene A. Feinberg and Adam Shwartz (eds.) · 2002

Earlier work this paper cites.

Regal: A regularization based algorithm for reinforcement learning in weakly communicating mdps

Peter L. Bartlett · 2009

Cited alongside, same era.

Competing with an infinite set of models in reinforcement learning

Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko, and Ronald Ortner · 2013

Cited alongside, same era.

(more) efficient reinforcement learning via posterior sampling

Ian Osband, Benjamin Van Roy, and Daniel Russo · 2013

Cited alongside, same era.

Model-based reinforcement learning and the eluder dimension

Ian Osband and Benjamin Van Roy · 2014

Later among the works it cites.

A comprehensive survey on safe reinforcement learning

Javier García and Fernando Fernández · 2015

Later among the works it cites.

An information-theoretic analysis of thompson sampling

Original

Daniel Russo and Benjamin Van Roy · 2016

Later among the works it cites.