Vivek Myers

According to our database, Vivek Myers authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following.

Vivek Myers, Bill Chunyuan Zheng, Anca D. Dragan, Kuan Fang, Sergey Levine

CoRR, February, 2025

Horizon Generalization in Reinforcement Learning.

Vivek Myers, Catherine Ji, Benjamin Eysenbach

CoRR, January, 2025

2024

Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation.

Vivek Myers, Bill Chunyuan Zheng, Oier Mees, Sergey Levine, Kuan Fang

CoRR, 2024

Accelerating Goal-Conditioned RL Algorithms and Research.

Michal Bortkiewicz, Wladek Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach

CoRR, 2024

Learning to Assist Humans without Inferring Rewards.

Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference.

Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Toward Grounded Commonsense Reasoning.

Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation.

Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making.

Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Toward Grounded Social Reasoning.

Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh

CoRR, 2023

Active Reward Learning from Online Preferences.

Vivek Myers, Erdem Biyik, Dorsa Sadigh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BridgeData V2: A Dataset for Robot Learning at Scale.

Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.

Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2021

Bayesian Meta-Learning Through Variational Gaussian Processes.

Vivek Myers, Nikhil Sardana

CoRR, 2021

Learning Multimodal Rewards from Rankings.

Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A Hierarchical Approach to Scaling Batch Active Search Over Structured Data.

Vivek Myers, Peyton Greenside

CoRR, 2020