1 citations · 1 across the 5 of their papers we have counts for
5 papers
Split over resource sharing problem: Are fewer capable agents better than many simpler ones?
Karthik Soma, Mohamed S. Talamali, Genki Miyauchi +3
In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over resource…
Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
Maeva Guerrier, Karthik Soma, Jana Pavlasek +1
Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluati…
Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning
Maeva Guerrier, Karthik Soma, Hassan Fouad +1
Safety stands as the primary obstacle preventing the widespread adoption of learning-based robotic systems in our daily lives. While reinforcement learning (RL) shows promise as an…
The Hive Mind is a Single Reinforcement Learning Agent
Karthik Soma, Yann Bouteiller, Heiko Hamann +1
Decision-making is an essential attribute of any intelligent agent or group. Natural systems are known to converge to effective strategies through at least two distinct mechanisms:…
Evolution of Societies via Reinforcement Learning
Yann Bouteiller, Karthik Soma, Giovanni Beltrame
The universe involves many independent co-learning agents as an ever-evolving part of our observed environment. Yet, in practice, Multi-Agent Reinforcement Learning (MARL) applicat…