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Discount Factor as a Regularizer in Reinforcement Learning

Discount Factor as a Regularizer in Reinforcement Learning

4 July 2020
Ron Amit
Ron Meir
K. Ciosek
    OffRL
ArXivPDFHTML

Papers citing "Discount Factor as a Regularizer in Reinforcement Learning"

14 / 14 papers shown
Title
On the Effective Horizon of Inverse Reinforcement Learning
On the Effective Horizon of Inverse Reinforcement Learning
Yiqing Xu
Finale Doshi-Velez
David Hsu
51
0
0
21 Feb 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
Bowen Zheng
Ran Cheng
Kay Chen Tan
42
0
0
25 Jan 2025
On shallow planning under partial observability
On shallow planning under partial observability
Randy Lefebvre
Audrey Durand
OffRL
39
0
0
22 Jul 2024
On the Value of Myopic Behavior in Policy Reuse
On the Value of Myopic Behavior in Policy Reuse
Kang Xu
Chenjia Bai
Shuang Qiu
Haoran He
Bin Zhao
Zhen Wang
Wei Li
Xuelong Li
32
1
0
28 May 2023
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer
  Value Function
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet
Laurence Midgley
Alexandre Laterre
26
1
0
19 Nov 2022
On the Role of Discount Factor in Offline Reinforcement Learning
On the Role of Discount Factor in Offline Reinforcement Learning
Haotian Hu
Yiqin Yang
Qianchuan Zhao
Chongjie Zhang
OffRL
29
18
0
07 Jun 2022
EnTRPO: Trust Region Policy Optimization Method with Entropy
  Regularization
EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization
Sahar Roostaie
M. Ebadzadeh
11
3
0
26 Oct 2021
Comparison and Unification of Three Regularization Methods in Batch
  Reinforcement Learning
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Sarah Rathnam
S. Murphy
Finale Doshi-Velez
OffRL
11
1
0
16 Sep 2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic
  Reinforcement Learning and Global Convergence of Policy Gradient Methods
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Xin Guo
Anran Hu
Junzi Zhang
OffRL
25
6
0
13 Sep 2021
Active Reinforcement Learning over MDPs
Qi Yang
Peng Yang
K. Tang
41
0
0
05 Aug 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Yiming Zhang
Keith Ross
OffRL
33
40
0
14 Jun 2021
Taylor Expansion of Discount Factors
Taylor Expansion of Discount Factors
Yunhao Tang
Mark Rowland
Rémi Munos
Michal Valko
OffRL
32
5
0
11 Jun 2021
Heuristic-Guided Reinforcement Learning
Heuristic-Guided Reinforcement Learning
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
30
61
0
05 Jun 2021
Beyond the One Step Greedy Approach in Reinforcement Learning
Beyond the One Step Greedy Approach in Reinforcement Learning
Yonathan Efroni
Gal Dalal
B. Scherrer
Shie Mannor
OffRL
53
48
0
10 Feb 2018
1