Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error

28 January 2022

Papers citing "Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error"

22 / 22 papers shown

Title
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol Pai Liu Lingfeng Zhao Shivangi Agarwal Jinghan Liu Audrey Huang P. Amortila Nan Jiang OODD OffRL 96 0 0 11 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 36 3 0 28 Jan 2025
$\beta$ -DQN: Improving Deep Q-Learning By Evolving the Behavior Hongming Zhang Fengshuo Bai Chenjun Xiao Chao Gao Bo Xu Martin Müller OffRL 25 2 0 03 Jan 2025
Efficient Offline Reinforcement Learning: The Critic is Critical Adam Jelley Trevor A. McInroe Sam Devlin Amos Storkey OffRL 37 1 0 19 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 43 7 0 13 Jun 2024
Finding good policies in average-reward Markov Decision Processes without prior knowledge Adrienne Tuynman Rémy Degenne Emilie Kaufmann 31 2 0 27 May 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 32 6 0 04 Mar 2024
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang Xin-hui Li Leiji Zhang Yang Liu Baigui Sun Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL 27 5 0 26 Oct 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning Outongyi Lv Bingxin Zhou OffRL 36 0 0 05 Jul 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup D. Meger OffRL 23 44 0 04 Jun 2023
Learning from Integral Losses in Physics Informed Neural Networks Ehsan Saleh Saba Ghaffari Timothy Bretl Luke N. Olson Matthew West PINN AI4CE 25 4 0 27 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues Francisco Câmara Pereira AI4CE 20 6 0 16 May 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 13 31 0 03 Apr 2023
Distillation Policy Optimization Jianfei Ma OffRL 13 1 0 01 Feb 2023
Revisiting Bellman Errors for Offline Model Selection Joshua P. Zitovsky Daniel de Marchi Rishabh Agarwal Michael R. Kosorok University of North Carolina at Chapel Hill OffRL 27 5 0 31 Jan 2023
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design Shuze Liu Shangtong Zhang OffRL 25 3 0 31 Jan 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li Edwin Zhang Ming Yin Qinxun Bai Yu-Xiang Wang William Yang Wang OffRL 26 15 0 29 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 60 27 0 28 Sep 2022
Learning to Mitigate AI Collusion on Economic Platforms Gianluca Brero N. Lepore Eric Mibuari David C. Parkes 6 13 0 15 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 70 42 0 01 Feb 2022
Planning and Learning with Adaptive Lookahead Aviv A. Rosenberg Assaf Hallak Shie Mannor Gal Chechik Gal Dalal 19 7 0 28 Jan 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020