Challenging Common Assumptions in Convex Reinforcement Learning

Challenging Common Assumptions in Convex Reinforcement Learning

3 February 2022

Piersilvio De Bartolomeis

Marcello Restelli

Papers citing "Challenging Common Assumptions in Convex Reinforcement Learning"

17 / 17 papers shown

Title
Online Episodic Convex Reinforcement Learning B. Moreno Khaled Eldowa Pierre Gaillard Margaux Brégère Nadia Oudjane OffRL 24 0 0 12 May 2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning Gaurav Shetty M. Ramezani Hamed Habibi Holger Voos J. L. Sánchez-López 55 0 0 09 Feb 2025
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction Ric De Santi Federico Arangath Joseph Noah Liniger Mirco Mutti Andreas Krause AI4CE 37 1 0 18 Jul 2024
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho A. Harutyunyan 36 5 0 15 Jul 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 36 3 0 13 Jul 2024
The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough Riccardo Zamboni Duilio Cirino Marcello Restelli Mirco Mutti 36 4 0 18 Jun 2024
Learning Diffusion at Lightspeed Antonio Terpin Nicolas Lanzetti Florian Dorfler DiffM 29 6 0 18 Jun 2024
On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal Tasks Joar Skalse Alessandro Abate 19 9 0 26 Jan 2024
Diversifying AI: Towards Creative Chess with AlphaZero Tom Zahavy Vivek Veeriah Shaobo Hou Kevin Waugh Matthew Lai Edouard Leurent Nenad Tomašev Lisa Schut Demis Hassabis Satinder Singh 29 15 0 17 Aug 2023
Submodular Reinforcement Learning Manish Prajapat Mojmír Mutný M. Zeilinger Andreas Krause OffRL 23 12 0 25 Jul 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space Anas Barakat Ilyas Fatkhullin Niao He 23 11 0 02 Jun 2023
A Coupled Flow Approach to Imitation Learning G. Freund Elad Sarafian Sarit Kraus OOD 21 12 0 29 Apr 2023
Reinforcement Learning in Low-Rank MDPs with Density Features Audrey Huang Jinglin Chen Nan Jiang OffRL 11 14 0 04 Feb 2023
Policy Gradient for Reinforcement Learning with General Utilities Navdeep Kumar Kaixin Wang Kfir Y. Levy Shie Mannor 11 4 0 03 Oct 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 99 56 0 13 Sep 2021
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 62 310 0 06 Jun 2015