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03/01/2023
Multi-Armed Bandits with Generalized Temporally-Partitioned Rewards
Decision-making problems of sequential nature, where decisions made in t...
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02/21/2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning
Sparsity of rewards while applying a deep reinforcement learning method ...
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01/02/2023
Local Differential Privacy for Sequential Decision Making in a Changing Environment
We study the problem of preserving privacy while still providing high ut...
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11/13/2022
Generalizing distribution of partial rewards for multi-armed bandits with temporally-partitioned rewards
We investigate the Multi-Armed Bandit problem with Temporally-Partitione...
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09/08/2022
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
We study a posterior sampling approach to efficient exploration in const...
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05/20/2022
Survey on Fair Reinforcement Learning: Theory and Practice
Fairness-aware learning aims at satisfying various fairness constraints ...
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02/14/2022
The Impact of Batch Learning in Stochastic Linear Bandits
We consider a special case of bandit problems, named batched bandits, in...
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11/03/2021
The Impact of Batch Learning in Stochastic Bandits
We consider a special case of bandit problems, namely batched bandits. M...
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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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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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11/23/2017
Counterfactual Learning for Machine Translation: Degeneracies and Solutions
Counterfactual learning is a natural scenario to improve web-based machi...
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10/09/2017
On formalizing fairness in prediction with machine learning
Machine learning algorithms for prediction are increasingly being used i...
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08/16/2017
