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02/08/2020
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Bayesian reinforcement learning (BRL) offers a decision-theoretic soluti...
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06/20/2019
Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process
We tackle the problem of acting in an unknown finite and discrete Markov...
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06/20/2019
Near-optimal Reinforcement Learning using Bayesian Quantiles
We study model-based reinforcement learning in finite communicating Mark...
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06/14/2019
Epistemic Risk-Sensitive Reinforcement Learning
We develop a framework for interacting with uncertain environments in re...
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06/04/2019
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games
We study two-player general sum repeated finite games where the rewards ...
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05/29/2019
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?
We introduce a number of privacy definitions for the multi-armed bandit ...
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05/27/2019
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
We study model-based reinforcement learning in an unknown finite communi...
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04/06/2019
Randomised Bayesian Least-Squares Policy Iteration
We introduce Bayesian least-squares policy iteration (BLSPI), an off-pol...
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02/07/2019
Deeper & Sparser Exploration
We address the problem of efficient exploration by proposing a new meta ...
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06/24/2018
On The Differential Privacy of Thompson Sampling With Gaussian Prior
We show that Thompson Sampling with Gaussian Prior as detailed by Algori...
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05/31/2017
Subjective fairness: Fairness is in the eye of the beholder
We analyze different notions of fairness in decision making when the und...
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01/16/2017
Thompson Sampling For Stochastic Bandits with Graph Feedback
We present a novel extension of Thompson Sampling for stochastic sequent...
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01/16/2017
Achieving Privacy in the Adversarial Multi-Armed Bandit
In this paper, we improve the previously best known regret bound to achi...
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12/22/2015
On the Differential Privacy of Bayesian Inference
We study how to communicate findings of Bayesian inference to third part...
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11/27/2015
Algorithms for Differentially Private Multi-Armed Bandits
We present differentially private algorithms for the stochastic Multi-Ar...
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12/10/2014
Generalised Entropy MDPs and Minimax Regret
Bayesian methods suffer from the problem of how to specify prior beliefs...
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08/09/2014
Probabilistic inverse reinforcement learning in unknown environments
We consider the problem of learning by demonstration from agents acting ...
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06/05/2013
Bayesian Differential Privacy through Posterior Sampling
Differential privacy formalises privacy-preserving mechanisms that provi...
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05/08/2013
Cover Tree Bayesian Reinforcement Learning
This paper proposes an online tree-based Bayesian approach for reinforce...
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03/27/2013
ABC Reinforcement Learning
This paper introduces a simple, general framework for likelihood-free Ba...
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03/11/2013
Monte-Carlo utility estimates for Bayesian reinforcement learning
This paper introduces a set of algorithms for Monte-Carlo Bayesian reinf...
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03/04/2013
Personalized News Recommendation with Context Trees
The profusion of online news articles makes it difficult to find interes...
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01/12/2012
Sparse Reward Processes
We introduce a class of learning problems where the agent is presented w...
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06/18/2011
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple ...
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06/18/2011
Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculatio...
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04/29/2011
Preference elicitation and inverse reinforcement learning
We state the problem of inverse reinforcement learning in terms of prefe...
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12/26/2009
Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning
There has been a lot of recent work on Bayesian methods for reinforcemen...
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10/05/2009
Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classif...
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07/13/2008
Intrusion Detection Using Cost-Sensitive Classification
Intrusion Detection is an invaluable part of computer networks defense. ...
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05/14/2008
