Truly No-Regret Learning in Constrained MDPs

Truly No-Regret Learning in Constrained MDPs

24 February 2024

Giorgia Ramponi

Papers citing "Truly No-Regret Learning in Constrained MDPs"

10 / 10 papers shown

Title
Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds Qian Zuo Fengxiang He 51 0 0 07 Apr 2025
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 68 2 0 05 Nov 2024
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 89 2 0 29 Aug 2024
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 48 610 0 13 Aug 2021
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards Miguel Calvo-Fullana Santiago Paternain Luiz F. O. Chamon Alejandro Ribeiro OffRL 35 33 0 23 Feb 2021
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 51 291 0 08 Jul 2020
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies Yonathan Efroni Nadav Merlis Mohammad Ghavamzadeh Shie Mannor OffRL 78 68 0 27 May 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 93 274 0 01 Jan 2019
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 99 1,313 0 30 May 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 65 307 0 22 Mar 2017