Vivek Myers
Scholar

Vivek Myers

Google Scholar ID: 5NGAbT4AAAAJ
UC Berkeley
Reinforcement LearningRoboticsHuman-AI CollaborationArtificial Intelligence
Citations & Impact
All-time
Citations
628
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following (2025)
  • - Horizon Generalization in Reinforcement Learning (2025)
  • - Accelerating Goal-Conditioned RL Algorithms and Research (2025)
  • - Learning to Assist Humans without Inferring Rewards (2024)
  • - Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference (2024)
Research Experience
  • Currently conducting research at Berkeley Artificial Intelligence Research (BAIR), supported by an NDSEG fellowship.
Education
  • Ph.D.: University of California, Berkeley, advised by Anca Dragan and Sergey Levine; B.S.: Stanford University, in Computer Science and Mathematics, advised by Dorsa Sadigh.
Background
  • Research interests include reinforcement learning, human-AI interaction, and robotics. Before coming to Berkeley, he got his bachelor's degree in Computer Science and Mathematics at Stanford University, where he worked with Dorsa Sadigh.
Miscellany
  • Contact information: Email, Google Scholar, LinkedIn, GitHub, Twitter, Bluesky