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Accommodating Picky Customers: Regret Bound and Exploration Complexity
  for Multi-Objective Reinforcement Learning
v1v2v3 (latest)

Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning

Neural Information Processing Systems (NeurIPS), 2020
25 November 2020
Jingfeng Wu
Vladimir Braverman
Lin F. Yang
ArXiv (abs)PDFHTML

Papers citing "Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning"

10 / 10 papers shown
Game-Theoretic Understandings of Multi-Agent Systems with Multiple Objectives
Game-Theoretic Understandings of Multi-Agent Systems with Multiple Objectives
Yue Wang
204
0
0
27 Sep 2025
Scaling Distributed Multi-task Reinforcement Learning with Experience
  Sharing
Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing
Sanae Amani
Khushbu Pahwa
samani
Lin F. Yang
LRM
228
1
0
11 Jul 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward
  Learning
Provably Feedback-Efficient Reinforcement Learning via Active Reward LearningNeural Information Processing Systems (NeurIPS), 2023
Dingwen Kong
Lin F. Yang
284
18
0
18 Apr 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective
  Reinforcement Learning
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Ruida Zhou
Tao-Wen Liu
D. Kalathil
P. R. Kumar
Chao Tian
262
18
0
10 Jun 2022
Provably Efficient Lifelong Reinforcement Learning with Linear Function
  Approximation
Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation
Sanae Amani
Lin F. Yang
Ching-An Cheng
OffRL
226
2
0
01 Jun 2022
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement
  Learning Approach
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
Delin Qu
Boxiang Lyu
Qing-xin Meng
Zhaoran Wang
Zhuoran Yang
Sai Li
364
9
0
25 Feb 2022
Adaptive Multi-Goal Exploration
Adaptive Multi-Goal Exploration
Jean Tarbouriech
O. D. Domingues
Pierre Ménard
Matteo Pirotta
Michal Valko
A. Lazaric
367
4
0
23 Nov 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Gap-Dependent Unsupervised Exploration for Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jingfeng Wu
Vladimir Braverman
Lin F. Yang
286
12
0
11 Aug 2021
A Simple Reward-free Approach to Constrained Reinforcement Learning
A Simple Reward-free Approach to Constrained Reinforcement Learning
Sobhan Miryoosefi
Chi Jin
298
35
0
12 Jul 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL
Provably Efficient Algorithms for Multi-Objective Competitive RLInternational Conference on Machine Learning (ICML), 2021
Tiancheng Yu
Yi Tian
J.N. Zhang
S. Sra
288
24
0
05 Feb 2021
1
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