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Defending a Static Target Point with a Slow Defender
This paper studies a target-defense game played between a slow defender and a fast attacker.
The Eater and the Mover Game
This paper studies the idea of ``deception by motion'' through a two-player dynamic game played between a Mover who must retrieve resources at a goal location, and an Eater who can consume resources at two candidate goals.
Guarding a Non-Maneuverable Translating Line with an Attached Defender
In this paper we consider a target-guarding differential game where the defender must protect a linearly translating line-segment by intercepting an attacker who tries to reach it.
Dynamic Defender-Attacker Blotto Game
The game terminates with the attacker's win if any location has more attacker robots than defender robots at any time.
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collaboration in cooperative tasks.
Multi-agent Reinforcement Learning
reinforcement-learning
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