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Grasper: A generalist pursuer for pursuit-evasion problems
Pursuit-evasion games (PEGs) model interactions between a team of pursuers and an
evader in graph-based environments such as urban street networks. Recent advancements …
evader in graph-based environments such as urban street networks. Recent advancements …
Learning decentralized partially observable mean field control for artificial collective behavior
Recent reinforcement learning (RL) methods have achieved success in various domains.
However, multi-agent RL (MARL) remains a challenge in terms of decentralization, partial …
However, multi-agent RL (MARL) remains a challenge in terms of decentralization, partial …
Scalable, generalizable, and offline methods for imperfect-information extensive-form games
S Li - 2025 - dr.ntu.edu.sg
Imperfect-information extensive-form games (IIEFGs) offer a versatile framework for
modeling interactions between multiple players in stochastic and imperfect-information …
modeling interactions between multiple players in stochastic and imperfect-information …
Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems
Partially Controlled Multi-Agent Systems (PCMAS) are comprised of controllable agents,
managed by a system designer, and uncontrollable agents, operating autonomously. This …
managed by a system designer, and uncontrollable agents, operating autonomously. This …
[HTML][HTML] Large-Scale Multi-Agent Reinforcement Learning via Mean Field Games
K Cui - 2024 - tuprints.ulb.tu-darmstadt.de
In this dissertation, we discuss the mathematically rigorous multi-agent reinforcement
learning frameworks of mean field games (MFG) and mean field control (MFC). Dynamical …
learning frameworks of mean field games (MFG) and mean field control (MFC). Dynamical …
Partially Observable Multi-Agent Reinforcement Learning using Mean Field Control
Recent reinforcement learning (RL) methods have achieved success in various domains.
However, multi-agent RL (MARL) remains a challenge in terms of decentralization, partial …
However, multi-agent RL (MARL) remains a challenge in terms of decentralization, partial …