Shayegan Omidshafiei

Alum

Website
shayegan [at] mit [dot] edu

Projects

	Sharing in Multiagent Reinforcement Learning Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, 2019 Sharing information during learning in multiagent environments can reduce the need for each agent to explore the entire state space, leading to reduced learning time.
	Learning to Teach in Cooperative MARL Dong-Ki Kim, Shayegan Omidshafiei, 2018 Our algorithm, Learning to Coordinate and Teach Reinforcement (LeCTR), addresses peer-to-peer teaching in cooperative multiagent reinforcement learning.
	Crossmodal Attentive Skill Learner Shayegan Omidshafiei, Dong-Ki Kim, 2018 This work introduces the crossmodal learning paradigm and addresses the problem of learning in a high-dimensional domain with multiple sensory inputs.
	Decentralized Multi-task Learning Shayegan Omidshafiei, 2018 This work formalizes and addresses the problem of multi-task multiagent reinforcement learning under partial observability.
	Decentralized Control of Multi-Robot Partially Observable Markov Decision Processes using Belief Space Macro-actions Shayegan Omidshafiei, Ali-akbar Ahga-mohammadi, Christopher Amato, Shih-Yuan Liu, Miao Liu, 2014 This work extends the Dec-POMDP model to the Decentralized Partially Observable Semi-Markov Decision Process (Dec-POSMDP) to take advantage of high-level representations that are natural for multi-robot problems and to facilitate scalable solutions to large discrete and continuous problems.
	Measurable Augmented Reality for Prototyping Cyber-Physical Systems (MAR-CPS) Shayegan Omidshafiei, Ali-akbar Ahga-mohammadi, Steven Chen, N. Kemal Ure, 2014 We propose a platform designed to transform indoor laboratories into controlled simulations of outdoor environments.