Multi-Agent Systems

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning L4DC 2023 Iteratively Learn Diverse Strategies with State Distance Information NeurIPS 2023 Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023 Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 2023 Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning NeurIPS 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023 Learning Intuitive Policies Using Action Features ICML 2023 Learning Mean-Field Games with Discounted and Average Costs JMLR 2023 Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations NeurIPS 2023 Learning Regularized Monotone Graphon Mean-Field Games NeurIPS 2023 Learning Sparse Graphon Mean Field Games AISTATS 2023 Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization IJCAI 2023 Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning IJCAI 2023 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 2023 Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare IJCAI 2023 Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023 MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning IJCAI 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023 Markov Game Video Augmentation for Action Segmentation ICCV 2023 MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library JMLR 2023 Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams NeurIPS 2023