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On Convergence Rate of Adaptive Multiscale Value Function Approximation
  For Reinforcement Learning

On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning

International Workshop on Machine Learning for Signal Processing (MLSP), 2019
22 August 2019
Tao Li
Quanyan Zhu
ArXiv (abs)PDFHTML

Papers citing "On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning"

13 / 13 papers shown
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Fernando Martinez
Tao Li
Y. Lu
Juntao Chen
OffRL
217
0
0
10 Aug 2025
Multi-level Traffic-Responsive Tilt Camera Surveillance through
  Predictive Correlated Online Learning
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online LearningTransportation Research Part C: Emerging Technologies (TRC), 2024
Tao Li
Zilin Bian
Haozhe Lei
Fan Zuo
Ya-Ting Yang
Quanyan Zhu
Zhenning Li
K. Ozbay
217
14
0
05 Aug 2024
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
Tao Li
Juan Guevara
Xinghong Xie
Quanyan Zhu
OffRL
286
1
0
06 Oct 2023
Decision-Dominant Strategic Defense Against Lateral Movement for 5G
  Zero-Trust Multi-Domain Networks
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks
Tao Li
Yunian Pan
Quanyan Zhu
AAML
293
9
0
02 Oct 2023
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe
  Self-Driving in Non-Stationary Environments
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
Haozhe Lei
Quanyan Zhu
288
2
0
05 Sep 2023
Zero-Shot Wireless Indoor Navigation through Physics-Informed
  Reinforcement Learning
Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement LearningIEEE Open Journal of the Communications Society (JOCS), 2023
Mingsheng Yin
Tao Li
Haozhe Lei
Yaqi Hu
S. Rangan
Quanyan Zhu
293
4
0
11 Jun 2023
Self-Adaptive Driving in Nonstationary Environments through Conjectural
  Online Lookahead Adaptation
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead AdaptationIEEE International Conference on Robotics and Automation (ICRA), 2022
Tao Li
Haozhe Lei
Quanyan Zhu
460
17
0
06 Oct 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation
  and Complexity Analysis
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
Tao Li
Haozhe Lei
Quanyan Zhu
AAML
464
10
0
29 Jul 2022
Adaptive Online Value Function Approximation with Wavelets
Adaptive Online Value Function Approximation with Wavelets
Michael Beukman
Michael Mitchley
Dean S. Wookey
Steven D. James
George Konidaris
158
1
0
22 Apr 2022
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Yunhan Huang
Linan Huang
Quanyan Zhu
336
95
0
02 Jul 2021
The Confluence of Networks, Games and Learning
The Confluence of Networks, Games and LearningIEEE Control Systems (CS), 2021
Tao Li
Guanze Peng
Quanyan Zhu
Tamer Basar
AI4CE
330
60
0
17 May 2021
Blackwell Online Learning for Markov Decision Processes
Blackwell Online Learning for Markov Decision ProcessesAnnual Conference on Information Sciences and Systems (CISS), 2020
Tao Li
Guanze Peng
Quanyan Zhu
OffRL
117
19
0
28 Dec 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To
  Planning In Unknown Domains
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James Bannon
Bradford T. Windsor
Wenbo Song
Tao Li
CMLOODOffRL
186
22
0
03 Jun 2020
1
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