Jun Luo

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 18

Top Topics

Team Composition

Reinforcement Learning

Hybrid Architecture

Top Venues

Trans. Mach. Learn. Res.

Publications

Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
Dynamic Decision Frequency with Continuous Options. IROS (2023)
Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
Auxiliary task discovery through generate-and-test. CoLLAs (2023)
Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo
Reinforcement Teaching. Trans. Mach. Learn. Res. 2023 (2023)
Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. 2023 (2023)
Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
A Simple Decentralized Cross-Entropy Method. NeurIPS (2022)
Jun Jin, Hongming Zhang, Jun Luo
Build generally reusable agent-environment interaction models. CoRR (2022)
Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
Auxiliary task discovery through generate-and-test. CoRR (2022)
Daniel Graves, Johannes Günther, Jun Luo
Affordance as general value function: a computational model. Adapt. Behav. 30 (4) (2022)
Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
A Simple Decentralized Cross-Entropy Method. CoRR (2022)
Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
Variable-Decision Frequency Option Critic. CoRR (2022)
Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
Understanding and mitigating the limitations of prioritized experience replay. UAI (2022)
Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. IV (2022)
Ehsan Imani, Guojun Zhang, Jun Luo, Pascal Poupart, Yangchen Pan
Label Alignment Regularization for Distribution Shift. CoRR (2022)
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Multiagent Q-learning with Sub-Team Coordination. NeurIPS (2022)
Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. ICRA (2022)
Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. ICCV (2021)
Amir Rasouli, Mohsen Rohani, Jun Luo
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction. ICCV (2021)