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2007.02040
Cited By
Discount Factor as a Regularizer in Reinforcement Learning
4 July 2020
Ron Amit
Ron Meir
K. Ciosek
OffRL
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Papers citing
"Discount Factor as a Regularizer in Reinforcement Learning"
36 / 36 papers shown
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Bootstrapped Reward Shaping
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Volodymyr Makarenko
Stas Tiomkin
R. Kulkarni
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279
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02 Jan 2025
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Audrey Durand
OffRL
269
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On the consistency of hyper-parameter selection in value-based deep reinforcement learning
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Oracle-Efficient Reinforcement Learning for Max Value Ensembles
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Michael Kearns
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259
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Behavior Alignment via Reward Function Optimization
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433
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29 Oct 2023
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
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239
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The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
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Sarah Rathnam
S. Parbhoo
Weiwei Pan
Susan A. Murphy
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197
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On the Value of Myopic Behavior in Policy Reuse
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Kang Xu
Chenjia Bai
Delin Qu
Haoran He
Bin Zhao
Zhen Wang
Wei Li
Xuelong Li
240
2
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28 May 2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alberto Maria Metelli
Mirco Mutti
Marcello Restelli
OffRL
254
4
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11 Apr 2023
UGAE: A Novel Approach to Non-exponential Discounting
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Vicky Kalogeiton
Julien Pettré
Marie-Paule Cani
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231
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Claire Vernade
Brendan O'Donoghue
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196
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Laurence Midgley
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293
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Rethinking Value Function Learning for Generalization in Reinforcement Learning
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266
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18 Oct 2022
Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network
Frensi Zejnullahu
Maurice Moser
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212
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28 Jun 2022
On the Role of Discount Factor in Offline Reinforcement Learning
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322
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Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
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216
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Learning to Transfer Role Assignment Across Team Sizes
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Phuoc Nguyen
Svetha Venkatesh
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163
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17 Apr 2022
A Survey on Reinforcement Learning Methods in Character Animation
Ariel Kwiatkowski
Eduardo Alvarado
Vicky Kalogeiton
Chenxi Liu
Julien Pettré
M. van de Panne
Marie-Paule Cani
AI4CE
337
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07 Mar 2022
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
Matthew Macfarlane
Paul Caron
Thomas D. Barrett
Ian Davies
Alexandre Laterre
200
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EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization
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M. Ebadzadeh
256
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26 Oct 2021
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Sarah Rathnam
Susan Murphy
Finale Doshi-Velez
OffRL
192
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16 Sep 2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Xin Guo
Anran Hu
Junzi Zhang
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244
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13 Sep 2021
Active Reinforcement Learning over MDPs
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Peng Yang
Shengcai Liu
280
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Towards Automatic Actor-Critic Solutions to Continuous Control
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Jinsu Yoo
Yanjun Qi
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209
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On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
International Conference on Machine Learning (ICML), 2021
Yiming Zhang
George Andriopoulos
OffRL
337
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Taylor Expansion of Discount Factors
International Conference on Machine Learning (ICML), 2021
Yunhao Tang
Mark Rowland
Rémi Munos
Michal Valko
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233
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11 Jun 2021
Heuristic-Guided Reinforcement Learning
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Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
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380
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05 Jun 2021
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Shangtong Zhang
Romain Laroche
H. V. Seijen
Shimon Whiteson
Rémi Tachet des Combes
536
15
0
02 Oct 2020
Forward and inverse reinforcement learning sharing network weights and hyperparameters
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Kenji Doya
193
22
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17 Aug 2020
1
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