Jun Jin

Affiliations:
  • University of Alberta, Edmonton, Canada
  • Huawei Technologies Canada


According to our database1, Jun Jin authored at least 25 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Dynamic Decision Frequency with Continuous Options.
IROS, 2023

Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Auxiliary task discovery through generate-and-test.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Variable-Decision Frequency Option Critic.
CoRR, 2022

Build generally reusable agent-environment interaction models.
CoRR, 2022

What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy.
CoRR, 2022

A Simple Decentralized Cross-Entropy Method.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Generalizable task representation learning from human demonstration videos: a geometric approach.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs?
CoRR, 2021

A Generative Model-Based Predictive Display for Robotic Teleoperation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning robust driving policies without online exploration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning.
CoRR, 2020

Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning.
CoRR, 2020

Learning predictive representations in autonomous driving to improve deep reinforcement learning.
CoRR, 2020

A Geometric Perspective on Visual Imitation Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Visual Geometric Skill Inference by Watching Human Demonstration.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Long range teleoperation for fine manipulation tasks under time-delay network conditions.
CoRR, 2019

Evaluation of state representation methods in robot hand-eye coordination learning from demonstration.
CoRR, 2019

Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach.
Proceedings of the International Conference on Robotics and Automation, 2019

Online Object and Task Learning via Human Robot Interaction.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Online Tool and Task learning via Human Robot Interaction.
CoRR, 2018

Real-Time Edge Template Tracking via Homography Estimation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018


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