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cs.LG2019
Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning
Roi Ceren
Optimal decision making with limited or no information in stochastic environments where multiple agents interact is a challenging topic in the realm of artificial intelligence. Rei…
cs.LG2018
Reinforcement Learning for Heterogeneous Teams with PALO Bounds
Roi Ceren, Prashant Doshi, Keyang He
We introduce reinforcement learning for heterogeneous teams in which rewards for an agent are additively factored into local costs, stimuli unique to each agent, and global rewards…