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Multi-Agent Systems

3306 directly classified papers

Papers per year

Papers

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022
Secure Distributed Training at Scale ICML 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games ICML 2022
No-Regret Learning in Time-Varying Zero-Sum Games ICML 2022
Shield Decentralization for Safe Multi-Agent Reinforcement Learning NIPS 2022
RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry CVPR 2022
COLA: Consistent Learning with Opponent-Learning Awareness ICML 2022
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022
Generalization in Mean Field Games by Learning Master Policies AAAI 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits NIPS 2022
Towards Versatile Embodied Navigation NIPS 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NIPS 2022
Decentralized Online Convex Optimization in Networked Systems ICML 2022
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NIPS 2022
Generalized Strategic Classification and the Case of Aligned Incentives ICML 2022
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence NIPS 2022
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation NAACL 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022
Associating Objects and Their Effects in Video through Coordination Games NIPS 2022
A Regret Minimization Approach to Multi-Agent Control ICML 2022
Safe Opponent-Exploitation Subgame Refinement NIPS 2022
Subgame Solving in Adversarial Team Games NIPS 2022
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NIPS 2022