game theory

Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers AAAI 2021 Learning in Matrix Games can be Arbitrarily Complex COLT 2021 Learning in two-player zero-sum partially observable Markov games with perfect recall NeurIPS 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021 Manipulation of k-Coalitional Games on Social Networks IJCAI 2021 Matrix games with bandit feedback UAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 Modeling Precomputation In Games Played Under Computational Constraints IJCAI 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021 Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games AAAI 2021 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021 Multi-Party Campaigning AAAI 2021 Multiplayer Bandit Learning, from Competition to Cooperation COLT 2021 Multi-Scale Games: Representing and Solving Games on Networks with Group Structure AAAI 2021 Nash Welfare in the Facility Location Problem IJCAI 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 No-Press Diplomacy from Scratch NeurIPS 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 On a Competitive Secretary Problem with Deferred Selections IJCAI 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021 Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021 On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games AAAI 2021 On the Impossibility of Global Convergence in Multi-Loss Optimization ICLR 2021