Ted Fujimoto

According to our database, Ted Fujimoto authored at least 8 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense.

Sayak Mukherjee, Samrat Chatterjee, Emilie Purvine, Ted Fujimoto, Tegan Emerson

CoRR, November, 2025

2024

Assessing the Impact of Distribution Shift on Reinforcement Learning Performance.

Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop R. Ganguly

CoRR, 2024

2022

AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning.

Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee

CoRR, 2022

Ad Hoc Teamwork in the Presence of Adversaries.

Ted Fujimoto, Samrat Chatterjee, Auroop R. Ganguly

CoRR, 2022

2021

Reward-Free Attacks in Multi-Agent Reinforcement Learning.

Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas

CoRR, 2021

Adversarial Attacks in Cooperative AI.

Ted Fujimoto, Arthur Paul Pedersen

CoRR, 2021

How Can Creativity Occur in Multi-Agent Systems?

Ted Fujimoto

CoRR, 2021

1999

An extensive ecdysteroid CoMFA.

Laurence Dinan, Robert E. Hormann, Ted Fujimoto

J. Comput. Aided Mol. Des., 1999