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Influence-Salient Coordination Shaping for Scalable Cooperative MARL

Influence-Salient Coordination Shaping (ISCS) is a research project on cooperative multi-agent reinforcement learning (MARL), focused on helping learning-based agents develop stronger interaction-driven coordination. In many cooperative tasks, agents must do more than independently maximize a shared reward: they need to create opportunities for teammates, respond to each other’s actions, and stabilize useful coordination patterns over time.

Nasa Suit Challenge 2023

The NASA SUITS program invites students to design AR interfaces for spacesuits, aligning with NASA’s goals for the Artemis mission and the need for advanced technologies to support lunar exploration.

talks

teaching

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

CSE 481V: VR Capstone

Undergraduate Capstone course, University of Washington, Computer Science, 2023

Students were exposed to state-of-the-art techniques, empowered to create captivating projects, and encouraged to design cool experiences in AR/VR.

CS 180: Problem Solving and Object-Oriented Programming

Undergraduate course, Purdue University, Computer Science, 2023-2026

CS18000 offers an introduction to Computer Science, using the Java programming language.

Topics include primitive types and strings, selection, repetition, arrays, graphical user interfaces, methods and classes, interfaces, inheritance, exceptions, basic concurrent programming and synchronization, polymorphism, dynamic data structures, recursion and recursive data structures, and an introduction to generics.

CS 182: Foundations of Computer Science

Undergraduate course, Purdue University, Computer Science, 2024-2026

The course gives a broad introduction on how to apply fundamental discrete mathematical tools, facts, and reasoning relevant to computer science.

The topics covered include logic, proof methods, functions, sums and sets; relations, number theory, algorithms and growth functions, induction, recursions, and recursive algorithms, counting, basic probability theory, trees and graphs.