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researcher

Mahsa Khosravi

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAgGym: An agricultural biotic stress simulation environment for ultra-precision management planning

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

collaborators

2 papers

cs.LG2025

Enhancing PPO with Trajectory-Aware Hybrid Policies

Qisai Liu, Zhanhong Jiang, Hsin-Jung Yang +3

Proximal policy optimization (PPO) is one of the most popular state-of-the-art on-policy algorithms that has become a standard baseline in modern reinforcement learning with applic…

cs.AI2024★ 2 cited

AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning

Mahsa Khosravi, Matthew Carroll, Kai Liang Tan +8

Agricultural production requires careful management of inputs such as fungicides, insecticides, and herbicides to ensure a successful crop that is high-yielding, profitable, and of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.