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20172026
most citedSelf-Monitoring Navigation Agent via Auxiliary Progress Estimation

134 citations · 398 across the 41 of their papers we have counts for

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7 papers · 1 filter

cs.AI2025

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning

Gunshi Gupta, Karmesh Yadav, Zsolt Kira +2

To enable embodied agents to operate effectively over extended timeframes, it is crucial to develop models that form and access memories to stay contextualized in their environment…

cs.AI2025

Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification

Moises Andrade, Joonhyuk Cha, Brandon Ho +3

Verifiers--functions assigning rewards to agent behavior--have been key to AI progress in math, code, and games. However, extending gains to domains without clear-cut success crite…

cs.AI2025

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning

Ram Ramrakhya, Matthew Chang, Xavier Puig +3

Embodied agents operating in household environments must interpret ambiguous and under-specified human instructions. A capable household robot should recognize ambiguity and ask re…

cs.AI2019

Path Ranking with Attention to Type Hierarchies

Weiyu Liu, Angel Daruna, Zsolt Kira +1

The objective of the knowledge base completion problem is to infer missing information from existing facts in a knowledge base. Prior work has demonstrated the effectiveness of pat…

cs.AI201914 cited

The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib +2

As deep learning continues to make progress for challenging perception tasks, there is increased interest in combining vision, language, and decision-making. Specifically, the Visi…

cs.AI2019134 cited

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Chih-Yao Ma, Jiasen Lu, Zuxuan Wu +4

The Vision-and-Language Navigation (VLN) task entails an agent following navigational instruction in photo-realistic unknown environments. This challenging task demands that the ag…