nash equilibrium

Bandit Learning in Concave N-Person Games NeurIPS 2018 Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018 Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields ICLR 2018 Ex ante coordination and collusion in zero-sum multi-player extensive-form games NeurIPS 2018 Impossibility in Belief Merging (Extended Abstract) IJCAI 2018 Learning in Games with Lossy Feedback NeurIPS 2018 Learning Parametric Closed-Loop Policies for Markov Potential Games ICLR 2018 Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity AISTATS 2018 Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step ICLR 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018 Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games NeurIPS 2018 Practical exact algorithm for trembling-hand equilibrium refinements in games NeurIPS 2018 Synthesis of Controllable Nash Equilibria in Quantitative Objective Game IJCAI 2018 The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization NeurIPS 2018 The Mechanics of n-Player Differentiable Games ICML 2018 Wasserstein Distributionally Robust Kalman Filtering NeurIPS 2018 An Abstraction-Refinement Methodology for Reasoning about Network Games IJCAI 2017 Cake Cutting: Envy and Truth IJCAI 2017 Characterising the Manipulability of Boolean Games IJCAI 2017 Constraint Games revisited IJCAI 2017 Convergence and Quality of Iterative Voting Under Non-Scoring Rules IJCAI 2017 Defending Against Man-In-The-Middle Attack in Repeated Games IJCAI 2017 Equilibria in Ordinal Games: A Framework based on Possibility Theory. IJCAI 2017 GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium NeurIPS 2017 Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017