sequential decision making

Discovering, Learning and Exploiting Relevance NeurIPS 2014 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 2014 Multiarmed Bandits With Limited Expert Advice COLT 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 The Blinded Bandit: Learning with Adaptive Feedback NeurIPS 2014 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 An Optimal Policy for Target Localization with Application to Electron Microscopy ICML 2013 Bayesian optimization explains human active search NeurIPS 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Multi-objective Monte-Carlo Tree Search ACML 2012 Searching for objects driven by context NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 The Price of Bandit Information for Online Optimization NeurIPS 2007