13 citations · 15 across the 9 of their papers we have counts for
9 papers
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights
Yasin Findik, Christopher Coco, Reza Azadeh
Assistive exoskeletons have shown great potential in enhancing mobility for individuals with motor impairments, yet their effectiveness relies on precise parameter tuning for perso…
Collaborative Adaptation for Recovery from Unforeseen Malfunctions in Discrete and Continuous MARL Domains
Yasin Findik, Hunter Hasenfus, Reza Azadeh
Cooperative multi-agent learning plays a crucial role for developing effective strategies to achieve individual or shared objectives in multi-agent teams. In real-world settings, a…
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Cooperative multi-agent learning methods are essential in developing effective cooperation strategies in multi-agent domains. In robotics, these methods extend beyond multi-robot s…
Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains
Yasin Findik, S. Reza Ahmadzadeh
Tackling multi-agent learning problems efficiently is a challenging task in continuous action domains. While value-based algorithms excel in sample efficiency when applied to discr…
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Effective coordination and cooperation among agents are crucial for accomplishing individual or shared objectives in multi-agent systems. In many real-world multi-agent systems, ag…
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik, Hamid Osooli, Paul Robinette +2
Relational networks within a team play a critical role in the performance of many real-world multi-robot systems. To successfully accomplish tasks that require cooperation and coor…
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Cooperative multi-agent reinforcement learning (MARL) approaches tackle the challenge of finding effective multi-agent cooperation strategies for accomplishing individual or shared…
D-CBRS: Accounting For Intra-Class Diversity in Continual Learning
Yasin Findik, Farhad Pourkamali-Anaraki
Continual learning -- accumulating knowledge from a sequence of learning experiences -- is an important yet challenging problem. In this paradigm, the model's performance for previ…
Twitter Reveals: Using Twitter Analytics to Predict Public Protests
Mohsen Bahrami, Yasin Findik, Burcin Bozkaya +1
The right to protest is perceived as one of the primary civil rights. Citizens participate in mass demonstrations to express themselves and exercise their democratic rights. Howeve…