Game Theory

Incentive-Aware PAC Learning AAAI 2021 Incentivizing Compliance with Algorithmic Instruments ICML 2021 Incentivizing Truthfulness Through Audits in Strategic Classification AAAI 2021 Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021 Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021 Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling AAAI 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization ALT 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning Optimal Auctions with Correlated Valuations from Samples ICML 2021 Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021 Linear Last-iterate Convergence in Constrained Saddle-point Optimization ICLR 2021 Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation ICLR 2021 Manipulation of k-Coalitional Games on Social Networks IJCAI 2021 Market-Based Explanations of Collective Decisions AAAI 2021 Matrix games with bandit feedback UAI 2021 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 Mind the Gap: Cake Cutting With Separation AAAI 2021 Minimax Adaptive Control for a Finite Set of Linear Systems L4DC 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market IJCAI 2021 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021