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researcher

Max Sobol Mark

3 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedRobot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing cs.ROShow all

1 paper · 1 filter

cs.RO2023★ 2 cited

Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning

Jingyun Yang, Max Sobol Mark, Brandon Vu +3

The pre-train and fine-tune paradigm in machine learning has had dramatic success in a wide range of domains because the use of existing data or pre-trained models on the internet…

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