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06/30/2023
TD Convergence: An Optimization Perspective
We study the convergence behavior of the celebrated temporal-difference ...
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04/06/2023
Robust Decision-Focused Learning for Reward Transfer
Decision-focused (DF) model-based reinforcement learning has recently be...
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12/29/2022
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
Advances in reinforcement learning have led to its successful applicatio...
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07/30/2022
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes
In the reinforcement learning literature, there are many algorithms deve...
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12/10/2021
Deep Q-Network with Proximal Iteration
We employ Proximal Iteration for value-function optimization in reinforc...
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11/28/2021
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
Off-policy policy evaluation methods for sequential decision making can ...
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10/23/2021
Coarse-Grained Smoothness for RL in Metric Spaces
Principled decision-making in continuous state–action spaces is impossib...
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09/13/2021
State Relevance for Off-Policy Evaluation
Importance sampling-based estimators for off-policy evaluation (OPE) are...
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06/08/2021
Learning Markov State Abstractions for Deep Reinforcement Learning
The fundamental assumption of reinforcement learning in Markov decision ...
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07/02/2020
Learning to search efficiently for causally near-optimal treatments
Finding an effective medical treatment often requires a search by trial ...
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02/10/2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Off-policy evaluation in reinforcement learning offers the chance of usi...
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05/24/2019
A general method for regularizing tensor decomposition methods via pseudo-data
Tensor decomposition methods allow us to learn the parameters of latent ...
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05/14/2019
Combining Parametric and Nonparametric Models for Off-Policy Evaluation
We consider a model-based approach to perform batch off-policy evaluatio...
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01/15/2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Sepsis is the leading cause of mortality in the ICU. It is challenging t...
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07/03/2018
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
In this work, we consider the problem of estimating a behaviour policy f...
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05/31/2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine l...
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05/23/2018
Representation Balancing MDPs for Off-Policy Policy Evaluation
We study the problem of off-policy policy evaluation (OPPE) in RL. In co...
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10/18/2017