Ping-Chun Hsieh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Transportation Systems

Global Optimality

Reinforcement Learning

Top Venues

Publications

Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
Diffusion-Reward Adversarial Imitation Learning. CoRR (2024)
He-Hao Liao, Yan-Tsung Peng, Wen-Tao Chu, Ping-Chun Hsieh, Chung-Chi Tsai
Image Deraining via Self-supervised Reinforcement Learning. CoRR (2024)
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion. CoRR (2024)
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. AAAI (2024)
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. ICLR (2023)
Yu-Heng Hung, Ping-Chun Hsieh
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective. AAAI (2023)
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. ACML (2023)
Yen-Ju Chen, Nai-Chieh Huang, Ping-Chun Hsieh
Accelerated Policy Gradient: On the Nesterov Momentum for Reinforcement Learning. CoRR (2023)
Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization. ICML (2023)
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. CoRR (2023)
Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs. CoRR (2023)
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees. AISTATS (2023)
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. CoRR (2023)
Yu-Heng Hung, Ping-Chun Hsieh
Neural Contextual Bandits via Reward-Biased Maximum Likelihood Estimation. CoRR (2022)
Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. CoRR (2022)
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. CoRR (2022)
Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. VCIP (2022)
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees. CoRR (2022)
Cheng-Yu Wu, Li-Hsing Yen, Ping-Chun Hsieh, Chien-Chao Tseng
Deterministic Bandwidth-Based Packet-Level Traffic Splitting for Datacenter Networks. APNOMS (2022)
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization. NeurIPS (2021)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. AAAI (2021)
Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL. NeurIPS (2021)
Hsuan-Yu Yao, Ping-Chun Hsieh, Kuo-Hao Ho, Kai-Chun Hu, Liang-Chun Ouyang, I-Chen Wu
Hinge Policy Optimization: Rethinking Policy Improvement and Reinterpreting PPO. CoRR (2021)
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization. CoRR (2021)
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization. UAI (2021)
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization. CoRR (2021)
Daojing Guo, Ping-Chun Hsieh, I-Hong Hou
Optimal Wireless Scheduling for Remote Sensing through Brownian Approximation. INFOCOM (2021)
Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL. CoRR (2021)
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
Fresher content or smoother playback?: a brownian-approximation framework for scheduling real-time wireless video streams. MobiHoc (2020)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. CoRR (2020)
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR (2020)
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. ICML (2020)
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks. CoRR (2019)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Real-Time Streaming Graph Embedding Through Local Actions. WWW (Companion Volume) (2019)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. ICML (2019)
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
Bandit Learning Through Biased Maximum Likelihood Estimation. CoRR (2019)
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
PULS: Processor-Supported Ultra-Low Latency Scheduling. MobiHoc (2018)
Ping-Chun Hsieh, I-Hong Hou
Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels. IEEE/ACM Trans. Netw. 26 (4) (2018)
Ping-Chun Hsieh, Yupeng Jia, Darwin Parra, Prabha Aithal
An Experimental Study on Coverage Enhancement of LTE Cat-M1 for Machine-Type Communication. ICC (2018)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Streaming Network Embedding through Local Actions. CoRR (2018)
Ping-Chun Hsieh, I-Hong Hou
A Decentralized Medium Access Protocol for Real-Time Wireless Ad Hoc Networks With Unreliable Transmissions. ICDCS (2018)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Heteroscedastic Bandits with Reneging. CoRR (2018)
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. CoRR (2018)
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
PULS: Processor-Supported Ultra-Low Latency Scheduling. MobiHoc (2018)
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. Allerton (2018)
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. MobiHoc (2017)
Hsiang-Ting Hong, Tzu-Yu Su, Po-Hsun Lee, Ping-Chun Hsieh, Mian-Jhong Chiu
VisualLink: Strengthening the Connection between Hearing-impaired Elderly and their Family. CHI Extended Abstracts (2017)
Ping-Chun Hsieh, I-Hong Hou, Xi Liu
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead. CoRR (2017)
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. CoRR (2017)
I-Hong Hou, Ping-Chun Hsieh
The capacity of QoE for wireless networks with unreliable transmissions. Queueing Syst. Theory Appl. 87 (1-2) (2017)
Ping-Chun Hsieh, I-Hong Hou
Heavy-traffic analysis of QoE optimality for on-demand video streams over fading channels. INFOCOM (2016)
I-Hong Hou, Ping-Chun Hsieh
QoE-Optimal Scheduling for On-Demand Video Streams over Unreliable Wireless Networks. MobiHoc (2015)
Simon Yau, P. R. Kumar, Ping-Chun Hsieh, Amal Ekbal, I-Hong Hou, Shuguang Cui, Nikhil Kundargi, Liang Ge
WiMAC: Rapid Implementation Platform for User Definable MAC Protocols Through Separation. Computer Communication Review (2015)
Simon Yau, Liang Ge, Ping-Chun Hsieh, I-Hong Hou, Shuguang Cui, P. R. Kumar, Amal Ekbal, Nikhil Kundargi
WiMAC: Rapid Implementation Platform for User Definable MAC Protocols Through Separation. SIGCOMM (2015)