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Multi-Agent Systems

1,019 papers

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Papers

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NIPS 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NIPS 2022
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games NIPS 2022
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning NIPS 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning NIPS 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NIPS 2022
Multi-agent Dynamic Algorithm Configuration NIPS 2022
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions NIPS 2022
I2Q: A Fully Decentralized Q-Learning Algorithm NIPS 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NIPS 2022
Learning Options via Compression NIPS 2022
PaCo: Parameter-Compositional Multi-task Reinforcement Learning NIPS 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NIPS 2022
Non-Linear Coordination Graphs NIPS 2022
When are Offline Two-Player Zero-Sum Markov Games Solvable? NIPS 2022
Proximal Learning With Opponent-Learning Awareness NIPS 2022
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking NIPS 2022
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control NIPS 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NIPS 2022
Model-Based Opponent Modeling NIPS 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems NIPS 2022
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs NIPS 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NIPS 2022
Multiagent Q-learning with Sub-Team Coordination NIPS 2022