Zecheng Zhang

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

2024 · arXiv (Cornell University)

We present PyTorch Frame, a PyTorch-based framework for deep learning over multi-modal tabular data. PyTorch Frame makes tabular deep learning easy by providing a PyTorch-based data structure to handle complex tabular data, introducing a model …

Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees

2024 · arXiv (Cornell University)

This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a approach this article introduces an innovative theoretical framework to meticulously assess …

AVA: Attentive VLM Agent for Mastering StarCraft II

2026

We introduce AVACraft, a multimodal StarCraft II benchmark supporting both Multi-Agent Reinforcement Learning (MARL) and Vision-Language Model (VLM) paradigms. Unlike SMAC-family environments that rely on abstract state representations and exclude VLMs, AVACraft provides RGB visuals, …