Metrics and continuity in reinforcement learning

2 February 2021

Papers citing "Metrics and continuity in reinforcement learning"

21 / 21 papers shown

Title
Bellman operator convergence enhancements in reinforcement learning algorithms David Krame Kadurha Domini Jocema Leko Moutouo Yae Ulrich Gaba 67 0 0 20 May 2025
Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric Zhenyu Tao Wei Xu Xiaohu You OffRL 121 0 0 25 Feb 2025
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 91 0 0 31 Oct 2024
Topological Foundations of Reinforcement Learning David Krame Kadurha 56 1 0 25 Sep 2024
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning C. Voelcker Tyler Kastner Igor Gilitschenski Amir-massoud Farahmand SSL 90 6 0 25 Jun 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 141 14 0 24 Jun 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 100 0 0 23 May 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 60 3 0 10 May 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 62 4 0 06 Feb 2024
Quantifying stability of non-power-seeking in artificial agents Evan Ryan Gunter Yevgeny Liokumovich Victoria Krakovna 67 1 0 07 Jan 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 66 3 0 04 Jan 2024
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 81 5 0 05 Oct 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 64 3 0 09 May 2023
Approximate discounting-free policy evaluation from transient and recurrent states Vektor Dewanto M. Gallagher OffRL 23 0 0 08 Apr 2022
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 84 8 0 06 Feb 2022
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 87 17 0 29 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 77 48 0 27 Oct 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 76 38 0 03 Jun 2021
Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors Christian Arzate Cruz Takeo Igarashi 64 7 0 27 May 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin Matthieu Geist OffRL 100 41 0 02 Mar 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 191 25 0 01 Jan 2021