game theory

Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ICML 2018 Combinatorial Cost Sharing IJCAI 2018 Comparing Approximate Relaxations of Envy-Freeness IJCAI 2018 Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018 Depth-Limited Solving for Imperfect-Information Games NeurIPS 2018 Distributed Multi-Player Bandits - a Game of Thrones Approach NeurIPS 2018 Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games IJCAI 2018 Ex ante coordination and collusion in zero-sum multi-player extensive-form games NeurIPS 2018 Ex-post IR Dynamic Auctions with Cost-per-Action Payments IJCAI 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior ICLR 2018 Learning in Games with Lossy Feedback NeurIPS 2018 Learning Optimal Reserve Price against Non-myopic Bidders NeurIPS 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018 LTL Realizability via Safety and Reachability Games IJCAI 2018 Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step ICLR 2018 Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game IJCAI 2018 Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018 Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games NeurIPS 2018 Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making NeurIPS 2018 Negotiation Strategies for Agents with Ordinal Preferences IJCAI 2018 Payoff Control in the Iterated Prisoner's Dilemma IJCAI 2018 Policy Regret in Repeated Games NeurIPS 2018 Practical exact algorithm for trembling-hand equilibrium refinements in games NeurIPS 2018 Probabilistic Verification for Obviously Strategyproof Mechanisms IJCAI 2018 Quantifying Algorithmic Improvements over Time IJCAI 2018