3 papers
cs.HC2026
CARL: Chat Assisted Reinforcement Learning
Sanjiv Das, Harshad Khadilkar, Sukrit Mittal +2
Failure of applied Reinforcement Learning (RL) to solve a given problem predominantly stems from unaddressed specification gaps, where the intent of human experts in the problem's…
cs.LG2026
Converting Expert Deliberation into Financial Signals Through A Context-Aware NLP Pipeline
Vivek Batra, Kristin Chen, Sanjiv Das +6
We introduce the CDSP (context-conditional deliberation signal pipeline), converting an investment committee's meeting transcripts into structured predictive features. CDSP segment…
cs.LG2026
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management
Sanjiv R. Das, Harshad Khadilkar, Sukrit Mittal +3
Applying concepts related to zero-shot meta-learning and pre-training of foundation models, we develop a meta reinforcement learning approach (denoted MetaRL) that is pre-trained o…