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Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement
  Learning via Frank-Wolfe Policy Optimization

Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization

22 February 2021
Jyun-Li Lin
Wei-Ting Hung
Shangtong Yang
Ping-Chun Hsieh
Xi Liu
ArXivPDFHTML

Papers citing "Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization"

12 / 12 papers shown
Title
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
Wei-Ting Hung
Shao-Hua Sun
Ping-Chun Hsieh
36
0
0
17 Mar 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
J. Brahmanage
Jiajing Ling
Akshat Kumar
40
0
0
08 Feb 2025
Safe Reinforcement Learning with Learned Non-Markovian Safety
  Constraints
Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
Siow Meng Low
Akshat Kumar
OffRL
30
0
0
05 May 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
J. Brahmanage
Jiajing Ling
Akshat Kumar
19
3
0
07 Feb 2024
Generative Modelling of Stochastic Actions with Arbitrary Constraints in
  Reinforcement Learning
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Changyu Chen
Ramesha Karunasena
Thanh Hong Nguyen
Arunesh Sinha
Pradeep Varakantham
23
9
0
26 Nov 2023
Nonsmooth Projection-Free Optimization with Functional Constraints
Nonsmooth Projection-Free Optimization with Functional Constraints
Kamiar Asgari
Michael J. Neely
29
0
0
18 Nov 2023
DFWLayer: Differentiable Frank-Wolfe Optimization Layer
DFWLayer: Differentiable Frank-Wolfe Optimization Layer
Zixuan Liu
Liu Liu
Xueqian Wang
P. Zhao
AI4CE
17
0
0
21 Aug 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for
  Robotics Control with Action Constraints
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura
Shuwa Miura
Tadashi Kozuno
Ryo Yonetani
Kenta Hoshino
Y. Hosoe
45
14
0
18 Apr 2023
Neural Frank-Wolfe Policy Optimization for Region-of-Interest
  Intra-Frame Coding with HEVC/H.265
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265
Yung-Han Ho
Chia-Hao Kao
Wen-Hsiao Peng
Ping-Chun Hsieh
23
3
0
27 Sep 2022
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation
  in HEVC/H.265 through Frank-Wolfe Policy Optimization
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization
Yung-Han Ho
Yun Liang
Chia-Hao Kao
Wen-Hsiao Peng
16
1
0
10 Mar 2022
Breaking the Linear Iteration Cost Barrier for Some Well-known
  Conditional Gradient Methods Using MaxIP Data-structures
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Anshumali Shrivastava
Zhao-quan Song
Zhaozhuo Xu
27
28
0
30 Nov 2021
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
67
310
0
06 Jun 2015
1