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02/02/2022
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
We present an approach for the quantification of the usefulness of trans...
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10/18/2019
Autonomous exploration for navigating in non-stationary CMPs
We consider a setting in which the objective is to learn to navigate in ...
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05/14/2019
Variational Regret Bounds for Reinforcement Learning
We consider undiscounted reinforcement learning in Markov decision proce...
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08/06/2018
Regret Bounds for Reinforcement Learning via Markov Chain Concentration
We give a simple optimistic algorithm for which it is easy to derive reg...
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05/25/2018
A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions
We consider reinforcement learning in changing Markov Decision Processes...
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02/12/2018
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
We introduce SCAL, an algorithm designed to perform efficient exploratio...
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09/12/2012
