Vivek Myers - RankMe

32 papers A* 9Misc 4Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research. ICLR Michal Bortkiewicz, Wladyslaw Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach
2025	A*	`conf`	Horizon Generalization in Reinforcement Learning. ICLR Vivek Myers, Catherine Ji, Benjamin Eysenbach
2025	J	`jnl`	Horizon Generalization in Reinforcement Learning. CoRR Vivek Myers, Catherine Ji, Benjamin Eysenbach
2025	A*	`conf`	Multi-Agent Inverse Q-Learning from Demonstrations. ICRA Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik
2025	J	`jnl`	Multi-Agent Inverse Q-Learning from Demonstrations. CoRR Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik
2025	J	`jnl`	Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning. CoRR Bill Chunyuan Zheng, Vivek Myers, Benjamin Eysenbach, Sergey Levine
2025	J	`jnl`	Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations. CoRR Vivek Myers, Bill Chunyuan Zheng, Benjamin Eysenbach, Sergey Levine
2025	J	`jnl`	Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following. CoRR Vivek Myers, Bill Chunyuan Zheng, Anca D. Dragan, Kuan Fang, Sergey Levine
2025	J	`jnl`	Training LLM Agents to Empower Humans. CoRR Evan Ellis, Vivek Myers, Jens Tuyls, Sergey Levine, Anca D. Dragan, Benjamin Eysenbach
2024	J	`jnl`	Accelerating Goal-Conditioned RL Algorithms and Research. CoRR Michal Bortkiewicz, Wladek Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach
2024	A*	`conf`	Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. ICML Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024	J	`jnl`	Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. CoRR Michelle Pan, Mariah Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024	A*	`conf`	Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference. NeurIPS Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine
2024	J	`jnl`	Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference. CoRR Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine
2024	A*	`conf`	Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. ICML Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach
2024	J	`jnl`	Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. CoRR Vivek Myers, Chongyi Zheng, Anca D. Dragan, Sergey Levine, Benjamin Eysenbach
2024	A*	`conf`	Learning to Assist Humans without Inferring Rewards. NeurIPS Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca D. Dragan
2024	J	`jnl`	Learning to Assist Humans without Inferring Rewards. CoRR Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca D. Dragan
2024	Misc	`conf`	Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation. CoRL Vivek Myers, Chunyuan Zheng, Oier Mees, Kuan Fang, Sergey Levine
2024	J	`jnl`	Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation. CoRR Vivek Myers, Bill Chunyuan Zheng, Oier Mees, Sergey Levine, Kuan Fang
2024	A*	`conf`	Toward Grounded Commonsense Reasoning. ICRA Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
2023	A*	`conf`	Active Reward Learning from Online Preferences. ICRA Vivek Myers, Erdem Biyik, Dorsa Sadigh
2023	J	`jnl`	Active Reward Learning from Online Preferences. CoRR Vivek Myers, Erdem Biyik, Dorsa Sadigh
2023	Misc	`conf`	BridgeData V2: A Dataset for Robot Learning at Scale. CoRL 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
2023	J	`jnl`	BridgeData V2: A Dataset for Robot Learning at Scale. CoRR Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Maximilian Du, Chongyi Zheng, Tony Z. Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, Sergey Levine
2023	Misc	`conf`	Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRL 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
2023	J	`jnl`	Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRR Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
2023	J	`jnl`	Toward Grounded Social Reasoning. CoRR Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh
2021	J	`jnl`	Bayesian Meta-Learning Through Variational Gaussian Processes. CoRR Vivek Myers, Nikhil Sardana
2021	Misc	`conf`	Learning Multimodal Rewards from Rankings. CoRL Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh
2021	J	`jnl`	Learning Multimodal Rewards from Rankings. CoRR Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh
2020	J	`jnl`	A Hierarchical Approach to Scaling Batch Active Search Over Structured Data. CoRR Vivek Myers, Peyton Greenside