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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning L4DC 2023
Policy Gradient Play with Networked Agents in Markov Potential Games L4DC 2023
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023
Diverse Conventions for Human-AI Collaboration NIPS 2023
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning ACML 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning NIPS 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NIPS 2023
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning L4DC 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems L4DC 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023
Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023
Embodied, Intelligent Communication for Multi-Agent Cooperation AAAI 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation L4DC 2023
Safe Interactive Autonomy for Multi-Agent Systems AAAI 2023
Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract) AAAI 2023
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing AAAI 2023
SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning AAAI 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023
Multi-Action Dialog Policy Learning from Logged User Feedback AAAI 2023
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program AAAI 2023
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning CORL 2023
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities CORL 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning AAAI 2023
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning NIPS 2023