no code implementations • 5 Feb 2024 • Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop Ganguly
We then apply these tools to single-agent and multi-agent environments to show the impact of introducing distribution shifts during test time.
no code implementations • 20 Dec 2022 • Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee
Search and Rescue (SAR) missions in remote environments often employ autonomous multi-robot systems that learn, plan, and execute a combination of local single-robot control actions, group primitives, and global mission-oriented coordination and collaboration.
no code implementations • 9 Aug 2022 • Ted Fujimoto, Samrat Chatterjee, Auroop Ganguly
Advances in ad hoc teamwork have the potential to create agents that collaborate robustly in real-world applications.
no code implementations • 2 Dec 2021 • Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas
We investigate how effective an attacker can be when it only learns from its victim's actions, without access to the victim's reward.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 29 Nov 2021 • Ted Fujimoto, Arthur Paul Pedersen
Single-agent reinforcement learning algorithms in a multi-agent environment are inadequate for fostering cooperation.
no code implementations • 29 Nov 2021 • Ted Fujimoto
Complex systems show how surprising and beautiful phenomena can emerge from structures or agents following simple rules.