Game AI

Towards Debate Automation: a Recurrent Model for Predicting Debate Winners EMNLP 2017 Welfare Guarantees from Data NeurIPS 2017 When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty IJCAI 2017 Why You Should Charge Your Friends for Borrowing Your Stuff IJCAI 2017 A Bandit Framework for Strategic Regression NeurIPS 2016 An Online Convex Optimization Approach to Blackwell's Approachability JMLR 2016 Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NeurIPS 2016 Deep Learning for Predicting Human Strategic Behavior NeurIPS 2016 Deep Learning Games NeurIPS 2016 Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions NeurIPS 2016 Learning Algorithms for Second-Price Auctions with Reserve JMLR 2016 Learning in Games: Robustness of Fast Convergence NeurIPS 2016 Long-term Causal Effects via Behavioral Game Theory NeurIPS 2016 Maximin Action Identification: A New Bandit Framework for Games COLT 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Online Learning and Blackwell Approachability in Quitting Games COLT 2016 Opponent Modeling in Deep Reinforcement Learning ICML 2016 Pricing a Low-regret Seller ICML 2016 Approval Voting and Incentives in Crowdsourcing ICML 2015 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View ICML 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Is Approval Voting Optimal Given Approval Votes? NeurIPS 2015