Decision Making

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Rational inference of relative preferences NeurIPS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Risk-Aversion in Multi-armed Bandits NeurIPS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Searching for objects driven by context NeurIPS 2012 Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Timely Object Recognition NeurIPS 2012 Active Classification based on Value of Classifier NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Multi-Bandit Best Arm Identification NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Variance Reduction in Monte-Carlo Tree Search NeurIPS 2011 A Computational Decision Theory for Interactive Assistants NeurIPS 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 A rational decision making framework for inhibitory control NeurIPS 2010 Direct Loss Minimization for Structured Prediction NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010