Challenges of Real-World Reinforcement Learning

29 April 2019

Papers citing "Challenges of Real-World Reinforcement Learning"

50 / 102 papers shown

Title
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning Mohammed Sumayli Olugbenga Moses Anubi 19 0 0 02 May 2025
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning Haoran Geng Feishi Wang Songlin Wei Y. Li Bangjun Wang ... Hao Dong Siyuan Huang Yue Wang Jitendra Malik Pieter Abbeel 85 4 0 26 Apr 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 38 1 0 04 Mar 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 86 9 0 28 Jan 2025
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 36 0 0 07 Nov 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 57 2 0 15 Jun 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization Xinmeng Huang Shuo Li Yan Sun Osbert Bastani Hamed Hassani Dongsheng Ding 47 4 0 29 May 2024
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning A. Politowicz Sahisnu Mazumder Bing-Quan Liu 26 0 0 29 May 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning Hyunin Lee Ming Jin Javad Lavaei Somayeh Sojoudi OffRL 37 2 0 25 May 2024
Model-free reinforcement learning with noisy actions for automated experimental control in optics Lea Richtmann Viktoria-S. Schmiesing Dennis Wilken Jan Heine Aaron Tranter Avishek Anand Tobias J. Osborne M. Heurs 33 2 0 24 May 2024
Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data Zine el abidine Kherroubi 19 0 0 08 May 2024
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning Zelin Wan Jin-Hee Cho Mu Zhu Ahmed H. Anwar Charles A. Kamhoua Munindar P. Singh AI4CE 13 0 0 08 Feb 2024
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review Member Ieee Yujiao Hu Qingmin Jia Yuao Yao Yong Lee Mengjie Lee Chenyi Wang Xiaomao Zhou Senior Member Ieee Renchao Xie F. I. F. Richard Yu 26 29 0 02 Dec 2023
On Generative Agents in Recommendation An Zhang Yuxin Chen Leheng Sheng Xiang Wang Tat-Seng Chua 38 43 0 16 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 0 0 26 Sep 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
Towards Theoretical Understanding of Data-Driven Policy Refinement Ali Baheri 19 0 0 11 May 2023
Real-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator Ruturaj Sambhus Aydin Gokce Stephen Welch Connor W. Herron Alexander Leonessa 26 0 0 11 Apr 2023
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents Li Li Jean-Pierre S. El Rami Adrian Taylor James Hailing Rao T. Kunz 13 4 0 03 Apr 2023
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games Stephanie Milani Arthur Juliani Ida Momennejad Raluca Georgescu Jaroslaw Rzepecki Alison Shaw Gavin Costello Fei Fang Sam Devlin Katja Hofmann 39 10 0 02 Mar 2023
Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties Ashutosh Dutta Samrat Chatterjee A. Bhattacharya M. Halappanavar 16 7 0 03 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 42 6 0 24 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks Gennaro Notomista 21 2 0 13 Jan 2023
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn Kingsley Nweye S. Sankaranarayanan Zoltán Nagy OffRL AI4CE 22 25 0 31 Dec 2022
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations Tim G. J. Rudner Cong Lu Michael A. Osborne Yarin Gal Yee Whye Teh OffRL 17 27 0 28 Dec 2022
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 31 13 0 09 Dec 2022
Controlling Commercial Cooling Systems Using Reinforcement Learning Jerry Luo Cosmin Paduraru Octavian Voicu Yuri Chervonyi Scott A. Munns ... Sims Witherspoon D. Parish Peter Dolan Chenyu Zhao D. Mankowitz OffRL AI4CE 28 25 0 11 Nov 2022
Sample Efficient Robot Learning with Structured World Models T. Akbulut Max Merlin Shane Parr Benedict Quartey Skye Thompson 21 0 0 21 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 32 0 0 05 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 36 3 0 05 Jul 2022
Safe Reinforcement Learning via Confidence-Based Filters Sebastian Curi Armin Lederer Sandra Hirche Andreas Krause OffRL 24 4 0 04 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 42 27 0 15 Jun 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan M Sander Wilko Schwarting Tim Seyde Igor Gilitschenski S. Karaman Daniela Rus 33 2 0 18 May 2022
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili Changliu Liu 12 1 0 23 Mar 2022
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task Vittorio Giammarino Matthew F. Dunne Kylie N. Moore Michael Hasselmo Chantal E. Stern I. Paschalidis OffRL 24 5 0 11 Mar 2022
Generalizable task representation learning from human demonstration videos: a geometric approach Jun Jin Martin Jägersand 11 5 0 28 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs Leonardo Lucio Custode Giovanni Iacca 25 13 0 10 Feb 2022
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul Hongyi Zhang Z. Qi Jingya Li Anders Aronsson Jan Bosch Helena Holmström Olsson 26 8 0 04 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Miguel Suau Jinke He M. Spaan F. Oliehoek 22 4 0 03 Feb 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning Tao Huang Jiacheng Wang Xiao Chen 34 4 0 18 Jan 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 36 34 0 05 Jan 2022
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye Bo Liu Peter Stone Zoltán Nagy OffRL AI4CE 37 37 0 25 Nov 2021
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch Shangtong Zhang Rémi Tachet des Combes Romain Laroche 27 10 0 04 Nov 2021
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets Selim Amrouni Aymeric Moulin Jared Vann Svitlana Vyetrenko T. Balch Manuela Veloso AI4CE 24 42 0 27 Oct 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 19 2 0 26 Oct 2021