Learning to Perform Physics Experiments via Deep Reinforcement Learning

6 November 2016

Papers citing "Learning to Perform Physics Experiments via Deep Reinforcement Learning"

50 / 102 papers shown

Title
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks Cunlai Pu Fangrui Wu Rajput Ramiz Sharafat Guangzhao Dai Xiangbo Shu 21 0 0 14 May 2025
Extending a Quantum Reinforcement Learning Exploration Policy with Flags to Connect Four Filipe Santos João Paulo Fernandes Luís Macedo 16 0 0 07 May 2025
Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review Saeid Jamshidia Amin Nikanjama Kawser Wazed Nafia Foutse Khomha Rasoul Rastab 25 2 0 20 Apr 2025
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review Agnia Sergeyuk Ilya Zakharov Ekaterina Koshchenko M. Izadi 58 0 0 08 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He Peng Qiao Rongchun Li Yong Dou Yusong Tan OffRL 57 0 0 27 Feb 2025
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models Daiki Chijiwa Taku Hasegawa Kyosuke Nishida Kuniko Saito Susumu Takeuchi 47 0 0 18 Feb 2025
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning Gavin B. Rens 43 0 0 03 Jan 2025
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services Hongjia Wu Hui Zeng Zehui Xiong Jiawen Kang Zhiping Cai Tse-Tin Chan Dusit Niyato Zhu Han 30 0 0 25 Oct 2024
How to Choose a Reinforcement-Learning Algorithm Fabian Bongratz Vladimir Golkov Lukas Mautner Luca Della Libera Frederik Heetmeyer Felix Czaja Julian Rodemann Daniel Cremers 34 1 0 30 Jul 2024
PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing Blazej Manczak Eliott Zemour Eric Lin Vaikkunth Mugunthan 26 2 0 23 Jul 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 37 0 0 08 Jul 2024
Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization Jakob Mokander Ralph Schroeder 36 6 0 07 Jul 2024
Model-Free Active Exploration in Reinforcement Learning Alessio Russo Alexandre Proutière OffRL 21 2 0 30 Jun 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards Zhaolin Gao Jonathan D. Chang Wenhao Zhan Owen Oertell Gokul Swamy Kianté Brantley Thorsten Joachims J. Andrew Bagnell Jason D. Lee Wen Sun OffRL 40 31 0 25 Apr 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving Ahmed Abouelazm Jonas Michel J. M. Zöllner 40 6 0 12 Apr 2024
A proximal policy optimization based intelligent home solar management Kode Creer Imitiaz Parvez 21 0 0 05 Apr 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 71 6 0 23 Dec 2023
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing Andrew Murdoch J. C. Schoeman H. W. Jordaan 19 2 0 11 Dec 2023
Learning active tactile perception through belief-space control J. Tremblay D. Meger F. Hogan Gregory Dudek 37 1 0 30 Nov 2023
Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning Ryan Rezai Jason Wang 27 0 0 31 Oct 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 40 1 0 13 Sep 2023
Robotic Ultrasound Imaging: State-of-the-Art and Future Perspectives Zhongliang Jiang Septimiu E. Salcudeanb Nassir Navab 19 85 0 08 Jul 2023
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents Yu-Chih Chen So Yeon Min Chase Davis Ruslan Salakhutdinov A. Azaria Yuan-Fang Li Tom Michael Mitchell A. Bovik LM&Ro LLMAG 78 33 0 03 May 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications D. Rizvi David P. Boyle 21 4 0 29 Mar 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 18 0 0 19 Jan 2023
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects Sumana Basu M. Legault Adriana Romero Soriano Doina Precup OffRL 26 3 0 02 Jan 2023
Instrumental Variables in Causal Inference and Machine Learning: A Survey Anpeng Wu Kun Kuang Ruoxuan Xiong Fei Wu SyDa CML 25 6 0 12 Dec 2022
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 35 0 0 23 Nov 2022
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing Jihoon Chung Bo Shen A. C. Law Zhenyu Zhen Kong OffRL OnRL AI4CE 8 22 0 28 Oct 2022
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay Adarsh Sehgal Muskan Sehgal Hung M. La 14 2 0 24 Oct 2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search Brieuc Pinon Jean-Charles Delvenne Raphaël Jungers OffRL 29 3 0 24 Aug 2022
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning Gaurav R. Bagwe Xianhao Chen Xiaoyong Yuan Lan Zhang 38 4 0 21 Jul 2022
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications Tom Hickling Abdelhafid Zenati Nabil Aouf P. Spencer XAI AI4TS 43 22 0 05 Jul 2022
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems N. Sivakumar C. Mura S. Peirce AI4CE 45 21 0 02 Jun 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 37 22 0 26 Jan 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction A. Ahmad Shuo Cheng D. Saraswat Aly El Gamal Luu Anh Tuan Gurmukh Johal OffRL OnRL 20 1 0 22 Oct 2021
Shifting Capsule Networks from the Cloud to the Deep Edge Miguel Costa Diogo Costa T. Gomes Sandro Pinto 21 5 0 06 Oct 2021
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection Amit Chaulwar M. Huth FedML 4 3 0 28 Jul 2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation Yaowen Yao Li Xiao Zhicheng An Wanpeng Zhang Dijun Luo 66 20 0 05 Jul 2021
Parameter-free Gradient Temporal Difference Learning Andrew Jacobsen Alan Chan OffRL 21 2 0 10 May 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning Changyin Sun Lijun Sun 19 16 0 02 May 2021
Network Defense is Not a Game Andres Molina-Markham Ransom K. Winder Ahmad Ridley AAML 25 12 0 20 Apr 2021
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh PINN 17 0 0 18 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 36 130 0 01 Apr 2021
Deep Hedging of Derivatives Using Reinforcement Learning Jay Cao Jacky Chen J. Hull Zissis Poulos 17 71 0 29 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 15 17 0 15 Mar 2021
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning Marian Korber Johann Lange S. Rediske Simon Steinmann Roland Glück 11 50 0 08 Mar 2021
Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details Zhuqing Jiang Chang Liu Yanan Wang Kai Li Aidong Men Haiying Wang Haiyong Luo 6 2 0 20 Jan 2021