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Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
v1v2 (latest)

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations

Jiachen Hu
Han Zhong
Chi Jin
Liwei Wang
ArXiv (abs)PDFHTML

Papers citing "Provable Sim-to-real Transfer in Continuous Domain with Partial Observations"

5 / 5 papers shown
Title
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
Jianliang He
Han Zhong
Zhuoran Yang
65
6
0
19 Apr 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Miao Lu
Han Zhong
Tong Zhang
Jose H. Blanchet
OffRLOOD
102
10
0
04 Apr 2024
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Philip Ndikum
Serge Ndikum
109
1
0
27 Feb 2024
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Rui Yang
Han Zhong
Jiawei Xu
Amy Zhang
Chong Zhang
Lei Han
Tong Zhang
OffRLOnRL
86
18
0
19 Oct 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Jose H. Blanchet
Miao Lu
Tong Zhang
Han Zhong
OffRL
121
32
0
16 May 2023

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