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cs.RO2025
Contextual Neural Moving Horizon Estimation for Robust Quadrotor Control in Varying Conditions
Kasra Torshizi, Chak Lam Shek, Khuzema Habib +3
Adaptive controllers on quadrotors typically rely on estimation of disturbances to ensure robust trajectory tracking. Estimating disturbances across diverse environmental contexts…
cs.RO2025
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm
Chak Lam Shek, Amrit Singh Bedi, Anjon Basak +5
In this work, we present a novel cooperative multi-agent reinforcement learning method called \textbf{Loc}ality based \textbf{Fac}torized \textbf{M}ulti-Agent \textbf{A}ctor-\textb…
cs.LG2025
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
Chak Lam Shek, Pratap Tokekar
Large Language Models (LLMs) have shown remarkable promise in reasoning and decision-making, yet their integration with Reinforcement Learning (RL) for complex robotic tasks remain…