Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss

no code implementations • 7 Jan 2019 • Roi Ceren, Shannon Quinn, Glen Raines

We propose a generalized decision-theoretic system for a heterogeneous team of autonomous agents who are tasked with online identification of phenotypically expressed stress in crop fields..

Clustering

Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning

no code implementations • 4 Jan 2019 • Roi Ceren

In the realm of normative reinforcement learning, I introduce scalable extensions to Monte Carlo exploring starts for partially observable Markov Decision Processes (POMDP), dubbed MCES-P, where I expand the theory and algorithm to the multiagent setting.

Decision Making Image Segmentation +5

Reinforcement Learning for Heterogeneous Teams with PALO Bounds

no code implementations • 23 May 2018 • 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, those shared by all agents in the domain.

reinforcement-learning Reinforcement Learning (RL)