Jun Jin - RankMe

35 papers A* 11A 3Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning. CoRR Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong
2023	—	`conf`	Auxiliary task discovery through generate-and-test. CoLLAs Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
2023	A	`conf`	Dynamic Decision Frequency with Continuous Options. IROS Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
2023	A*	`conf`	Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay. ICLR Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller
2022	A*	`conf`	A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. ICRA Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand
2022	A*	`conf`	A Simple Decentralized Cross-Entropy Method. NeurIPS Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
2022	J	`jnl`	A Simple Decentralized Cross-Entropy Method. CoRR Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
2022	J	`jnl`	Auxiliary task discovery through generate-and-test. CoRR Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
2022	J	`jnl`	Build generally reusable agent-environment interaction models. CoRR Jun Jin, Hongming Zhang, Jun Luo
2022	A*	`conf`	Generalizable task representation learning from human demonstration videos: a geometric approach. ICRA Jun Jin, Martin Jägersand
2022	J	`jnl`	Generalizable task representation learning from human demonstration videos: a geometric approach. CoRR Jun Jin, Martin Jägersand
2022	A*	`conf`	Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. ICRA Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
2022	J	`jnl`	Variable-Decision Frequency Option Critic. CoRR Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
2022	J	`jnl`	What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. CoRR Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White
2021	A*	`conf`	A Generative Model-Based Predictive Display for Robotic Teleoperation. ICRA Bowen Xie, Mingjie Han, Jun Jin, Martin Barczyk, Martin Jägersand
2021	J	`jnl`	A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. CoRR Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand
2021	J	`jnl`	Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs? CoRR Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand
2021	A*	`conf`	Learning robust driving policies without online exploration. ICRA Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
2021	J	`jnl`	Learning robust driving policies without online exploration. CoRR Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
2020	A	`conf`	A Geometric Perspective on Visual Imitation Learning. IROS Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand
2020	J	`jnl`	A Geometric Perspective on Visual Imitation Learning. CoRR Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand
2020	J	`jnl`	LISPR: An Options Framework for Policy Reuse with Reinforcement Learning. CoRR Daniel Graves, Jun Jin, Jun Luo
2020	J	`jnl`	Learning predictive representations in autonomous driving to improve deep reinforcement learning. CoRR Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin
2020	A*	`conf`	Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. ICRA Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand
2020	J	`jnl`	Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning. CoRR Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
2020	A*	`conf`	Visual Geometric Skill Inference by Watching Human Demonstration. ICRA Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan, Martin Jägersand
2019	J	`jnl`	Evaluation of state representation methods in robot hand-eye coordination learning from demonstration. CoRR Jun Jin, Masood Dehghan, Laura Petrich, Steven Weikai Lu, Martin Jägersand
2019	J	`jnl`	Long range teleoperation for fine manipulation tasks under time-delay network conditions. CoRR Jun Jin, Laura Petrich, Shida He, Masood Dehghan, Martin Jägersand
2019	J	`jnl`	Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. CoRR Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand
2019	A*	`conf`	Online Object and Task Learning via Human Robot Interaction. ICRA Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand
2019	A*	`conf`	Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. ICRA Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand
2019	J	`jnl`	Visual Geometric Skill Inference by Watching Human Demonstration. CoRR Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan, Martin Jägersand
2018	J	`jnl`	Online Tool and Task learning via Human Robot Interaction. CoRR Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand
2018	A	`conf`	Real-Time Edge Template Tracking via Homography Estimation. IROS Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan, Jun Jin, Martin Jägersand
2018	J	`jnl`	Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. CoRR Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand