◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Mark

4 papers hereh-index 5404 citations6 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.RO2
same name
  • M. Mark — 20 papers, h 34
  • M. Mark — 12 papers, h 13
  • M. Mark — 4 papers, h 10
  • M. Mark — 1 paper, h 15
  • M. Mark — 1 paper, h 1
  • M. Mark — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedRobot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2026

BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames

Max Sobol Mark, Jacky Liang, Maria Attarian +4

Many robot tasks require attending to the history of past observations. For example, finding an item in a room requires remembering which places have already been searched. However…

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.