Title
Nuclear Microreactor Control with Deep Reinforcement Learning Leo Tunkle Kamal Abdulraheem Linyu Lin M. Radaideh 36 0 0 31 Mar 2025
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Sebastian Farquhar Vikrant Varma David Lindner David Elson Caleb Biddulph Ian Goodfellow Rohin Shah 82 1 0 22 Jan 2025
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study Robert Spencer Surangika Ranathunga Mikael Boulic Andries van Heerden AI4TS 119 0 0 18 Oct 2024
State and Action Factorization in Power Grids Gianvito Losapio Davide Beretta Marco Mussi Alberto Maria Metelli Marcello Restelli 34 1 0 03 Sep 2024
Interactive Design-of-Experiments: Optimizing a Cooling System R. Splechtna Majid Behravan Mario Jelovic Denis Gračanin H. Hauser Kresimir Matkovic AI4CE 23 2 0 08 Aug 2024
CoDreamer: Communication-Based Decentralised World Models Edan Toledo Amanda Prorok 35 0 0 19 Jun 2024
Stealthy Imitation: Reward-guided Environment-free Policy Stealing Zhixiong Zhuang Maria-Irina Nicolae Mario Fritz AAML 42 0 0 11 May 2024
K-percent Evaluation for Lifelong RL Golnaz Mesbahi Parham Mohammad Panahi Olya Mastikhina Martha White Adam White CLL OffRL 26 0 0 02 Apr 2024
GVFs in the Real World: Making Predictions Online for Water Treatment Muhammad Kamran Janjua Haseeb Shah Martha White Erfan Miahi Marlos C. Machado Adam White AI4CE 29 8 0 04 Dec 2023
Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang Pengfei Li Tongxin Li Adam Wierman Shaolei Ren 38 2 0 02 Nov 2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm C. Bellinger Laurence Lamarche-Cliche 16 0 0 28 Aug 2023
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TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni de Fabritiis Vincent Moens OffRL AI4CE 16 37 0 01 Jun 2023
Loss of Plasticity in Continual Deep Reinforcement Learning Zaheer Abbas Rosie Zhao Joseph Modayil Adam White Marlos C. Machado CLL OffRL 26 73 0 13 Mar 2023
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control Anton R. Fuxjäger Kristián Kozák Matthias Dorfer P. Blies Marcel Wasserer 23 2 0 15 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs Theodore H. Moskovitz Brendan O'Donoghue Vivek Veeriah Sebastian Flennerhag Satinder Singh Tom Zahavy 37 18 0 02 Feb 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 19 6 0 26 Jan 2023
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 97 262 0 04 Oct 2021
Integrating Distributed Architectures in Highly Modular RL Libraries Albert Bou Sebastian Dittert Gianni de Fabritiis 16 0 0 06 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016