6 citations · 7 across the 4 of their papers we have counts for
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cs.LG2026
Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation
Morgan Byrd, Maks Sorokin, Jacob Blevins +2
This paper explores a reward-based policy to achieve zero-shot transfer between source and target environments with completely different observation spaces. While humans can demons…
cs.LG2025★ 6 cited
Deep Reinforcement Learning for Multi-Agent Coordination
Kehinde O. Aina, Sehoon Ha
We address the challenge of coordinating multiple robots in narrow and confined environments, where congestion and interference often hinder collective task performance. Drawing in…