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Safe Reinforcement Learning with Linear Function Approximation

Safe Reinforcement Learning with Linear Function Approximation

11 June 2021
Sanae Amani
Christos Thrampoulidis
Lin F. Yang
ArXivPDFHTML

Papers citing "Safe Reinforcement Learning with Linear Function Approximation"

13 / 13 papers shown
Title
Constrained Online Decision-Making: A Unified Framework
Constrained Online Decision-Making: A Unified Framework
Haichen Hu
David Simchi-Levi
Navid Azizan
39
0
0
11 May 2025
When to Localize? A Risk-Constrained Reinforcement Learning Approach
When to Localize? A Risk-Constrained Reinforcement Learning Approach
Chak Lam Shek
Kasra Torshizi
Troi Williams
Pratap Tokekar
41
2
0
05 Nov 2024
Safety through feedback in Constrained RL
Safety through feedback in Constrained RL
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
OffRL
56
1
0
28 Jun 2024
Myopically Verifiable Probabilistic Certificates for Safe Control and
  Learning
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
Zhuoyuan Wang
Haoming Jing
Christian Kurniawan
Albert Chern
Yorie Nakahira
41
1
0
23 Apr 2024
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with
  Uniform PAC Guarantees
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees
Toshinori Kitamura
Tadashi Kozuno
Masahiro Kato
Yuki Ichihara
Soichiro Nishimori
Akiyoshi Sannai
Sho Sonoda
Wataru Kumagai
Yutaka Matsuo
49
2
0
31 Jan 2024
Semi-Infinitely Constrained Markov Decision Processes and Efficient
  Reinforcement Learning
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning
Liangyu Zhang
Yang Peng
Wenhao Yang
Zhihua Zhang
23
1
0
29 Apr 2023
Online Nonstochastic Control with Adversarial and Static Constraints
Online Nonstochastic Control with Adversarial and Static Constraints
Xin Liu
Zixi Yang
Lei Ying
42
5
0
05 Feb 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen
Ching-An Cheng
OffRL
31
2
0
06 Jan 2023
Provably Efficient Model-Free Constrained RL with Linear Function
  Approximation
Provably Efficient Model-Free Constrained RL with Linear Function Approximation
A. Ghosh
Xingyu Zhou
Ness B. Shroff
75
23
0
23 Jun 2022
Near-optimal Offline Reinforcement Learning with Linear Representation:
  Leveraging Variance Information with Pessimism
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Ming Yin
Yaqi Duan
Mengdi Wang
Yu Wang
OffRL
39
66
0
11 Mar 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and
  Control Constraints: An Application to Intelligent Vehicles
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Xinglong Zhang
Yaoqian Peng
Biao Luo
Wei Pan
Xin Xu
Haibin Xie
27
11
0
18 Dec 2021
A Reduction-Based Framework for Conservative Bandits and Reinforcement
  Learning
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Yunchang Yang
Tianhao Wu
Han Zhong
Evrard Garcelon
Matteo Pirotta
A. Lazaric
Liwei Wang
S. Du
OffRL
35
9
0
22 Jun 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
122
167
0
06 Jan 2021
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