Density Constrained Reinforcement Learning

Density Constrained Reinforcement Learning

24 June 2021

Chuchu Fan

Papers citing "Density Constrained Reinforcement Learning"

13 / 13 papers shown

Title
Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies Zheli Xiong 49 0 0 23 Feb 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 60 0 0 30 Jan 2025
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 41 3 0 13 Jul 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 43 0 0 25 Apr 2024
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 34 5 0 26 Jul 2023
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
Reachability Constrained Reinforcement Learning Dongjie Yu Haitong Ma Sheng Li Jianyu Chen 63 55 0 16 May 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 37 21 0 03 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 69 31 0 28 Jan 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems Zengyi Qin Dawei Sun Chuchu Fan 31 43 0 06 Jan 2022
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates Romain Laroche Rémi Tachet des Combes 46 8 0 29 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 80 308 0 22 May 2012