Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods

13 July 2024

Papers citing "Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods"

11 / 11 papers shown

Title
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 340 0 0 11 Oct 2024
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space Anas Barakat Ilyas Fatkhullin Niao He 46 11 0 02 Jun 2023
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 52 14 0 12 Oct 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration Mirco Mutti Ric De Santi Marcello Restelli 69 31 0 07 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 50 21 0 03 Feb 2022
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint Matthieu Geist Julien Pérolat Mathieu Laurière Romuald Elie Sarah Perrin Olivier Bachem Rémi Munos Olivier Pietquin 60 63 0 07 Jun 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 62 196 0 08 Mar 2021
Active Model Estimation in Markov Decision Processes Jean Tarbouriech S. Shekhar Matteo Pirotta Mohammad Ghavamzadeh A. Lazaric 33 24 0 06 Mar 2020
Reinforcement Learning with Non-Markovian Rewards Maor Gaon Ronen I. Brafman OffRL 54 76 0 05 Dec 2019
Active Exploration in Markov Decision Processes Jean Tarbouriech A. Lazaric 24 50 0 28 Feb 2019
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das David Kempe 124 485 0 19 Feb 2011