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20212026
most citedHow Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via -Advantage Regression

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026★ 1 cited

The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

Redacted by arXiv

This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…

cs.CL2023

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics

Aparna Ananthasubramaniam, Hong Chen, Jason Yan +7

Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of o…

cs.LG2023

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

Yecheng Jason Ma, Kausik Sivakumar, Jason Yan +2

Standard model-based reinforcement learning (MBRL) approaches fit a transition model of the environment to all past experience, but this wastes model capacity on data that is irrel…

cs.LG2022★ 2 cited

How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via -Advantage Regression

Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman +1

Offline goal-conditioned reinforcement learning (GCRL) promises general-purpose skill learning in the form of reaching diverse goals from purely offline datasets. We propose $\text…

cs.SI2021★ 1 cited

A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt

Jason Yan, Melanie Sage, Seventy F. Hall +2

The John H. Chafee Foster Care Program for Successful Transition to Adulthood (CFCIP) allocates funding to provide services to youth who are likely to age out of foster care. These…