Jun Luo

Affiliations:

Huawei Technologies Canada, Noah's Ark Lab, Toronto, Canada

According to our database¹, Jun Luo authored at least 37 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

Label Alignment Regularization for Distribution Shift.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

2023

Reinforcement Teaching.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Dynamic Decision Frequency with Continuous Options.

[BibT_eX]

[DOI]

IROS, 2023

Auxiliary task discovery through generate-and-test.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Variable-Decision Frequency Option Critic.

[BibT_eX]

[DOI]

CoRR, 2022

Label Alignment Regularization for Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2022

Build generally reusable agent-environment interaction models.

[BibT_eX]

[DOI]

Jun Jin

Hongming Zhang

Jun Luo

CoRR, 2022

NeurIPS 2022 Competition: Driving SMARTS.

[BibT_eX]

[DOI]

CoRR, 2022

Memory-efficient Reinforcement Learning with Knowledge Consolidation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction.

[BibT_eX]

[DOI]

Elmira Amirloo Abolfathi

CoRR, 2022

Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors.

[BibT_eX]

[DOI]

CoRR, 2022

Affordance as general value function: a computational model.

[BibT_eX]

[DOI]

Daniel Graves

Johannes Günther

Jun Luo

Adapt. Behav., 2022

Understanding and mitigating the limitations of prioritized experience replay.

[BibT_eX]

[DOI]

Yangchen Pan

Jincheng Mei

Amir-massoud Farahmand

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Multiagent Q-learning with Sub-Team Coordination.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Simple Decentralized Cross-Entropy Method.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Modal Hybrid Architecture for Pedestrian Action Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multiagent Q-learning with Sub-Team Coordination.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.

[BibT_eX]

[DOI]

CoRR, 2021

CoachNet: An Adversarial Sampling Approach for Reinforcement Learning.

[BibT_eX]

[DOI]

Elmira Amirloo Abolfathi

Jun Luo

Peyman Yadmellat

Kasra Rezaee

CoRR, 2021

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Open-set Intersection Intention Prediction for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning robust driving policies without online exploration.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Bifold and Semantic Reasoning for Pedestrian Behavior Prediction.

[BibT_eX]

[DOI]

Amir Rasouli

Mohsen Rohani

Jun Luo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning.

[BibT_eX]

[DOI]

Ershad Banijamali

Mohsen Rohani

Elmira Amirloo Abolfathi

Jun Luo

Pascal Poupart

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map.

[BibT_eX]

[DOI]

Elmira Amirloo Abolfathi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

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

[BibT_eX]

[DOI]

Daniel Graves

Jun Jin

Jun Luo

CoRR, 2020

PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D.

[BibT_eX]

[DOI]

CoRR, 2020

Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling.

[BibT_eX]

[DOI]

Amir Rasouli

Mohsen Rohani

Jun Luo

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning.

[BibT_eX]

[DOI]

Kasra Rezaee

Peyman Yadmellat

Masoud S. Nosrati

Elmira Amirloo Abolfathi

Mohammed Elmahgiubi

Jun Luo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Jun Luo

Timeline

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