Game AI

Learning Equilibria of Games via Payoff Queries JMLR 2015 Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data JMLR 2015 Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NeurIPS 2015 M-Best-Diverse Labelings for Submodular Energies and Beyond NeurIPS 2015 No-Regret Learning in Bayesian Games NeurIPS 2015 On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015 Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top ICML 2015 Regret-Based Pruning in Extensive-Form Games NeurIPS 2015 The Hedge Algorithm on a Continuum ICML 2015 An Analysis of Deceptive Robot Motion RSS 2014 Causal Strategic Inference in Networked Microfinance Economies NeurIPS 2014 Computing Nash Equilibria in Generalized Interdependent Security Games NeurIPS 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014 Diverse Randomized Agents Vote to Win NeurIPS 2014 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 On the convergence of no-regret learning in selfish routing ICML 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Set-Valued Approachability and Online Learning with Partial Monitoring JMLR 2014 Sparse binary zero-sum games ACML 2014 A near-optimal algorithm for finite partial-monitoring games against adversarial opponents COLT 2013 Approachability, fast and slow COLT 2013