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conftrace_

multi-agent reinforcement learning

672 papers

MARL

Papers

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism AAAI 2023 Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems AAAI 2023 Hierarchical Multi-Agent Skill Discovery NeurIPS 2023 Hijacking Robot Teams Through Adversarial Communication CoRL 2023 Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NeurIPS 2023 Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems L4DC 2023 IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL NeurIPS 2023 Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning IJCAI 2023 Information Design in Multi-Agent Reinforcement Learning NeurIPS 2023 Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning CoRL 2023 Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023 Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 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 Sparse Graphon Mean Field Games AISTATS 2023 Learning to Optimize Differentiable Games ICML 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 Zero-Shot Cooperation with Humans, Assuming Humans Are Biased ICLR 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 MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection ICLR 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