Author

Debasmita Ghose

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#artificial intelligence Preprint Sep 2026

Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration

IMPLIED is an implication modeling method that treats fixed-rule implications as an initial guide while learning to infer and revise accepted and rejected action labels over time, and predicts human implications more accurately than the fixed rule approach and LLM baselines, approaching the performance of a human-label...

Qiping Zhang, Kate Candon, Debasmita Ghose et al. · 0 citations

#artificial intelligence Open access Aug 2026

Robots influencing humans to reveal their goals during collaboration and competition

This work formalises CDPs using a goal-conditioned policy divergence measure and incorporates them into a Receding-Horizon Planner that explores future action sequences while optimizing a cost function balancing task progress and information gain.

Debasmita Ghose, Oz Gitelson, Michael A. Lewkowicz et al. · Autonomous Robots · 1 citation