5 papers
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure
Daksh Mittal, Tommaso Castellani, Thomson Yen +7
We envision continually learning agentic systems that become more useful over time: as they encounter sequences of related tasks, they should infer the hidden structure shared acro…
SynthTools: A Framework for Scaling Synthetic Tools for Agent Development
Tommaso Castellani, Naimeng Ye, Daksh Mittal +4
For agentic systems to use external tools to solve complex, long-horizon tasks, we need a large set of diverse and controllable tool-use environments. We introduce SynthTools, a fu…
Data-Driven Stochastic Modeling Using Autoregressive Sequence Models: Translating Event Tables to Queueing Dynamics
Daksh Mittal, Shunri Zheng, Jing Dong +1
While queueing network models are powerful tools for analyzing service systems, they traditionally require substantial human effort and domain expertise to construct. To make this…
Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling
Daksh Mittal, Ang Li, Tzu-Ching Yen +2
Autoregressive models have emerged as a powerful framework for modeling exchangeable sequences - i.i.d. observations when conditioned on some latent factor - enabling direct modeli…
A Planning Framework for Adaptive Labeling
Daksh Mittal, Yuanzhe Ma, Shalmali Joshi +1
Ground truth labels/outcomes are critical for advancing scientific and engineering applications, e.g., evaluating the treatment effect of an intervention or performance of a predic…