Learning to Play in a Day: Faster Deep Reinforcement Learning by
Optimality Tightening

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

5 November 2016

Papers citing "Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening"

19 / 19 papers shown

Title
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 27 0 0 02 Nov 2022
MAN: Multi-Action Networks Learning Keqin Wang Alison Bartsch A. Farimani 21 3 0 19 Sep 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 20 23 0 03 Mar 2022
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 30 19 0 03 Nov 2021
Looking at the whole picture: constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 29 5 0 01 Sep 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 44 0 27 Jul 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 42 31 0 22 Mar 2021
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond Hao-Hsuan Chang Lingjia Liu Yuhao Yi 8 46 0 12 Oct 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 33 24 0 12 Jun 2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality Silviu Pitis Harris Chan Kiarash Jamali Jimmy Ba 8 24 0 14 Feb 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Heriberto Cuayáhuitl OffRL 32 17 0 27 Aug 2019
Constrained domain adaptation for Image segmentation M. Bateson Jose Dolz H. Kervadec H. Lombaert Ismail Ben Ayed GAN 26 25 0 08 Aug 2019
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update Su Young Lee Sung-Ik Choi Sae-Young Chung BDL 21 73 0 31 May 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 24 85 0 19 May 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 33 557 0 26 Feb 2018
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 35 345 0 06 Mar 2017
Learning What Data to Learn Yang Fan Fei Tian Tao Qin Jiang Bian Tie-Yan Liu 18 79 0 28 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017