2 papers
cs.RO2026
Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
Shaswat Garg, Matin Moezzi, Brandon Da Silva
Hierarchical goal-conditioned reinforcement learning (H-GCRL) provides a powerful framework for tackling complex, long-horizon tasks by decomposing them into structured subgoals. H…
cs.RO2024
Dual Agent Learning Based Aerial Trajectory Tracking
Shaswat Garg, Houman Masnavi, Baris Fidan +1
This paper presents a novel reinforcement learning framework for trajectory tracking of unmanned aerial vehicles in cluttered environments using a dual-agent architecture. Traditio…