
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Bayesian reinforcement learning (BRL) offers a decisiontheoretic soluti...
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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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Thompson Sampling For Stochastic Bandits with Graph Feedback
We present a novel extension of Thompson Sampling for stochastic sequent...
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Achieving Privacy in the Adversarial MultiArmed Bandit
In this paper, we improve the previously best known regret bound to achi...
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On the Differential Privacy of Bayesian Inference
We study how to communicate findings of Bayesian inference to third part...
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Algorithms for Differentially Private MultiArmed Bandits
We present differentially private algorithms for the stochastic MultiAr...
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Generalised Entropy MDPs and Minimax Regret
Bayesian methods suffer from the problem of how to specify prior beliefs...
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Probabilistic inverse reinforcement learning in unknown environments
We consider the problem of learning by demonstration from agents acting ...
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Bayesian Differential Privacy through Posterior Sampling
Differential privacy formalises privacypreserving mechanisms that provi...
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Cover Tree Bayesian Reinforcement Learning
This paper proposes an online treebased Bayesian approach for reinforce...
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ABC Reinforcement Learning
This paper introduces a simple, general framework for likelihoodfree Ba...
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MonteCarlo utility estimates for Bayesian reinforcement learning
This paper introduces a set of algorithms for MonteCarlo Bayesian reinf...
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Personalized News Recommendation with Context Trees
The profusion of online news articles makes it difficult to find interes...
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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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Sparse Reward Processes
We introduce a class of learning problems where the agent is presented w...
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Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple ...
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Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculatio...
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Preference elicitation and inverse reinforcement learning
We state the problem of inverse reinforcement learning in terms of prefe...
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Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classif...
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Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
Several approximate policy iteration schemes without value functions, wh...
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Intrusion Detection Using CostSensitive Classification
Intrusion Detection is an invaluable part of computer networks defense. ...
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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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Deeper & Sparser Exploration
We address the problem of efficient exploration by proposing a new meta ...
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Randomised Bayesian LeastSquares Policy Iteration
We introduce Bayesian leastsquares policy iteration (BLSPI), an offpol...
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Differential Privacy for Multiarmed Bandits: What Is It and What Is Its Cost?
We introduce a number of privacy definitions for the multiarmed bandit ...
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Epistemic RiskSensitive Reinforcement Learning
We develop a framework for interacting with uncertain environments in re...
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Nearoptimal Reinforcement Learning using Bayesian Quantiles
We study modelbased reinforcement learning in finite communicating Mark...
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Nearoptimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
We study modelbased reinforcement learning in an unknown finite communi...
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NearOptimal Online Egalitarian learning in General Sum Repeated Matrix Games
We study twoplayer general sum repeated finite games where the rewards ...
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Nearoptimal 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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Christos Dimitrakakis
verfied profile
Lecturer at Chalmers university of technology, Visiting Professor at Harvard University, Researcher at Inria