A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper introduces Markov games as a formal framework for multi-agent reinforcement learning, extending MDPs to settings with multiple adaptive agents.
Zhisheng Hu, Minghui Zhu, Peng Liu
Proposes an adaptive cyber defense using learning-based POMDP with Thompson sampling to counter multi-stage attacks under unknown exploit likelihoods and impacts.
Craig Boutilier, Taraneh Dean, Steve Hanks
This paper surveys how structural properties of MDPs can be exploited via AI-style representations to ease the computational burden of planning under uncertainty.