Dinesh Manocha

Parameter Sharing is Surprisingly Useful for Multi-Agent Deep Reinforcement Learning.

2020 · arXiv (Cornell University)

Nonstationarity is a fundamental problem in cooperative multi-agent reinforcement learning (MARL)--each agent must relearn information about the other agent's policies due to the other agents learning, causing information to ring between agents and convergence to …

BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes

2024 · arXiv (Cornell University)

We present BehAV, a novel approach for autonomous robot navigation in outdoor scenes guided by human instructions and leveraging Vision Language Models (VLMs). Our method interprets human commands using a Large Language Model (LLM) and …

Behav: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes

2025

We present BehAV, a novel approach for autonomous robot navigation in outdoor scenes guided by human instructions and leveraging Vision Language Models (VLMs). Our method interprets human commands using a Large Language Model (LLM), and …