most citedThe Hive Mind is a Single Reinforcement Learning Agent

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

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…

cs.MA20261 cited

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:…

cs.RO2026

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…

cs.RO2025

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…

cs.LG2025

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…