Rethinking the Discount Factor in Reinforcement Learning: A Decision
Theoretic Approach

Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach

8 February 2019

Silviu Pitis

Papers citing "Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach"

11 / 11 papers shown

Title
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 33 0 0 22 Jul 2024
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho A. Harutyunyan 38 5 0 15 Jul 2024
On the Expressivity of Multidimensional Markov Reward Shuwa Miura 18 4 0 22 Jul 2023
Markov Decision Processes with Time-Varying Geometric Discounting Jiarui Gan Ann-Kathrin Hennes R. Majumdar Debmalya Mandal Goran Radanović 13 1 0 19 Jul 2023
Factors of Influence of the Overestimation Bias of Q-Learning Julius Wagenbach M. Sabatelli 15 1 0 11 Oct 2022
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning Mohammadhosein Hasanbeig Daniel Kroening Alessandro Abate 18 15 0 21 Sep 2022
Utility Theory for Sequential Decision Making Mehran Shakerinava Siamak Ravanbakhsh 29 7 0 27 Jun 2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Vinayak Gupta Srikanta J. Bedathur AI4TS 22 16 0 10 Jun 2022
On the Expressivity of Markov Reward David Abel Will Dabney A. Harutyunyan Mark K. Ho Michael L. Littman Doina Precup Satinder Singh 26 82 0 01 Nov 2021
EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization Sahar Roostaie M. Ebadzadeh 11 3 0 26 Oct 2021
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 21 105 0 19 Feb 2019