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
Learning Principle of Least Action with Reinforcement Learning Zehao Jin J. Lin Siao-Fong Li 18 3 0 24 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 9 16 0 16 Nov 2020
Test-Cost Sensitive Methods for Identifying Nearby Points Seung Gyu Hyun Christopher Leung 19 0 0 04 Oct 2020
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents J. Tani Andrea F. Daniele Gianmarco Bernasconi Amaury Camus Aleksandar Petrov ... Tomasz Zaluska Matthew R. Walter Emilio Frazzoli Liam Paull A. Censi 14 8 0 09 Sep 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 25 169 0 07 Jul 2020
Security Issues of Low Power Wide Area Networks in the Context of LoRa Networks Debraj Basu Tianbo Gu P. Mohapatra 6 17 0 30 Jun 2020
Empirically Verifying Hypotheses Using Reinforcement Learning Kenneth Marino Rob Fergus Arthur Szlam Abhinav Gupta OffRL 8 1 0 29 Jun 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 31 396 0 22 Jun 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Austin Tripp Erik A. Daxberger José Miguel Hernández-Lobato MedIm 24 135 0 16 Jun 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library Dmitry Kazhdan Z. Shams Pietro Lió 35 15 0 16 Apr 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 8 13 0 17 Jan 2020
How Does an Approximate Model Help in Reinforcement Learning? Fei Feng W. Yin Lin F. Yang 11 5 0 06 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 22 10 0 03 Dec 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 14 54 0 16 Oct 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 14 455 0 14 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 19 105 0 12 Oct 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 22 549 0 22 Aug 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 25 68 0 26 Jul 2019
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions Zhenjia Xu Jiajun Wu Andy Zeng J. Tenenbaum Shuran Song AI4CE 15 111 0 10 Jun 2019
Unsupervised Intuitive Physics from Past Experiences Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi OOD PINN AI4CE SSL 37 2 0 26 May 2019
Let's Push Things Forward: A Survey on Robot Pushing Jochen Stüber Claudio Zito Rustam Stolkin AI4CE 6 95 0 13 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 25 96 0 08 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 28 543 0 29 Apr 2019
Learning Manipulation under Physics Constraints with Visual Perception Wenbin Li A. Leonardis Jeannette Bohg Mario Fritz SSL OCL 13 7 0 19 Apr 2019
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems Shreyas Ramakrishna Charles Hartsell Matthew P. Burruss G. Karsai A. Dubey 13 14 0 06 Feb 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems Boyi Liu Lujia Wang Ming-Yu Liu 11 245 0 19 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 18 74 0 06 Jan 2019
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 11 72 0 21 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 37 1,295 0 30 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset He Huang Yujing Shen Jiankai Sun Cewu Lu 3DV 15 2 0 25 Aug 2018
One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning Ruijin Cang Hope Yao Yi Ren 13 0 0 27 Jul 2018
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention Chao Yang Taehwan Kim Ruizhe Wang Hao Peng C.-C. Jay Kuo 28 51 0 16 Jun 2018
Relational inductive bias for physical construction in humans and machines Jessica B. Hamrick Kelsey R. Allen V. Bapst Tina Zhu Kevin R. McKee J. Tenenbaum Peter W. Battaglia 27 109 0 04 Jun 2018
Unsupervised Intuitive Physics from Visual Observations Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi SSL PINN OOD 19 31 0 14 May 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 30 34 0 03 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 873 0 03 Mar 2018
DiGrad: Multi-Task Reinforcement Learning with Shared Actions Parijat Dewangan S. Teja K. M. Krishna Abhishek Sarkar Balaraman Ravindran 19 7 0 27 Feb 2018
A Cyber Science Based Ontology for Artificial General Intelligence Containment Jason M. Pittman Courtney E. Soboleski 16 3 0 28 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 22 1,096 0 02 Jan 2018
Taking Visual Motion Prediction To New Heightfields Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi 13 23 0 22 Dec 2017
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael Bechtel Elise McEllhiney Minje Kim H. Yun 30 103 0 19 Dec 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 35 2,774 0 19 Aug 2017
Maintaining cooperation in complex social dilemmas using deep reinforcement learning Adam Lerer A. Peysakhovich 36 159 0 04 Jul 2017
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation Sébastien Ehrhardt Áron Monszpart Andrea Vedaldi Niloy Mitra 27 7 0 06 Jun 2017
Visual Semantic Planning using Deep Successor Representations Yuke Zhu Daniel Gordon Eric Kolve Dieter Fox Li Fei-Fei Abhinav Gupta Roozbeh Mottaghi Ali Farhadi 8 141 0 23 May 2017
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation Shaojun Zhu A. Kimmel Abdeslam Boularias 15 8 0 22 Mar 2017
Learning A Physical Long-term Predictor Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi AI4CE 19 65 0 01 Mar 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 30 311 0 03 Feb 2017