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20192026
most citedRevisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays

26 citations · 66 across the 20 of their papers we have counts for

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14 papers · 1 filter

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

Using Common Random Numbers for Simulation-based Planning with Rollouts

Sandarbh Yadav, Frederic J Maliakkal, Harshad Khadilkar +1

Simulation-based planning with rollouts is a widely-deployed technique for decision making in stochastic environments. The primary instrument of simulation-based planning is a samp…

cs.LG2025

Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead

Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar

In today's data-sensitive landscape, distributed learning emerges as a vital tool, not only fortifying privacy measures but also streamlining computational operations. This becomes…

cs.LG2025

AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings

Om Vishesh, Harshad Khadilkar, Deepak Akkil

Keeping pace with the rapid growth of academia literature presents a significant challenge for researchers, funding bodies, and academic societies. To address the time-consuming ma…

cs.LG2024

Transformers are Expressive, But Are They Expressive Enough for Regression?

Swaroop Nath, Harshad Khadilkar, Pushpak Bhattacharyya

Transformers have become pivotal in Natural Language Processing, demonstrating remarkable success in applications like Machine Translation and Summarization. Given their widespread…

cs.LG2023

Using General Value Functions to Learn Domain-Backed Inventory Management Policies

Durgesh Kalwar, Omkar Shelke, Harshad Khadilkar

We consider the inventory management problem, where the goal is to balance conflicting objectives such as availability and wastage of a large range of products in a store. We propo…