activity
20212026
collaborators

12 papers

cs.LG2026

Proximal Residual Value Functions for Consistent Planning and Real-Time Execution

Harrison Waldon, Carson Eisenach, Akhil Bagaria +4

We study two-timescale decision systems in which a planning layer periodically supplies a continuation-value function to a real-time optimizer that allocates arriving resources, wi…

stat.AP2026

Towards Optimal Estimators for Randomized Control Trials

Harsh Parikh, Gabriel Levin-Konigsberg, Nilesh Tripuraneni +5

Randomized controlled trials (RCTs) are fundamental tools for causal inference across technology companies, pharmaceutical research, and federal agencies. While the standard differ…

cs.AI2026

Mind the Sim-to-Real Gap & Think Like a Scientist

Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas +1

Suppose a planner has a pre-trained simulator of a sequential decision problem and the option to run real experiments in the field. The simulator is cheap to query but inherits con…

cs.MA2026

Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems

Angel Wang, Dominique Perrault-Joncas, Alvaro Maggiar +2

In large-scale multi-agent systems with shared resource constraints, an upstream planner must iteratively evaluate candidate resource plans -- assessing feasibility, aggregate resp…

stat.ME2026

TEA-Time: Transporting Effects Across Time

Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas +1

Treatment effects estimated from a randomized controlled trial are local not only to the study population but also to the time at which the trial was conducted. The literature on g…

cs.LG2025

BRIDGE: Building Representations In Domain Guided Program Synthesis

Robert Joseph George, Carson Eisenach, Udaya Ghai +3

Large language models can generate plausible code, but remain brittle for formal verification in proof assistants such as Lean. A central scalability challenge is that verified syn…