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Joint Optimization of Multi-Objective Reinforcement Learning with Policy
  Gradient Based Algorithm

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm

28 May 2021
Qinbo Bai
Mridul Agarwal
Vaneet Aggarwal
ArXivPDFHTML

Papers citing "Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm"

5 / 5 papers shown
Title
Addressing the issue of stochastic environments and local
  decision-making in multi-objective reinforcement learning
Addressing the issue of stochastic environments and local decision-making in multi-objective reinforcement learning
Kewen Ding
18
2
0
16 Nov 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective
  Reinforcement Learning
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou
Tao-Wen Liu
D. Kalathil
P. R. Kumar
Chao Tian
32
13
0
10 Jun 2022
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms
  with Finite-Time Analysis
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen
Yi Zhou
Rongrong Chen
Shaofeng Zou
15
24
0
08 Sep 2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy
  Gradient Method
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang
Chengzhuo Ni
Zheng Yu
Csaba Szepesvári
Mengdi Wang
46
67
0
17 Feb 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
166
0
06 Jan 2021
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