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cs.AI2023
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
Krishna C. Kalagarla, Dhruva Kartik, Dongming Shen +3
Autonomous systems often have logical constraints arising, for example, from safety, operational, or regulatory requirements. Such constraints can be expressed using temporal logic…
cs.AI2023
A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach
Dengwang Tang, Ashutosh Nayyar, Rahul Jain
The Common Information (CI) approach provides a systematic way to transform a multi-agent stochastic control problem to a single-agent partially observed Markov decision problem (P…