Deep Reinforcement Learning

15 October 2018

Papers citing "Deep Reinforcement Learning"

27 / 27 papers shown

Title
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains Manon Flageat Félix Chalumeau Antoine Cully 23 26 0 24 Oct 2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 13 6 0 02 Oct 2022
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints D. Mguni Aivar Sootla Juliusz Ziomek Oliver Slumbers Zipeng Dai Kun Shao J. Wang 26 6 0 31 May 2022
RACE: A Reinforcement Learning Framework for Improved Adaptive Control of NoC Channel Buffers Kamil Khan S. Pasricha R. Kim 24 2 0 26 May 2022
Quantile-Based Policy Optimization for Reinforcement Learning Jinyang Jiang Jiaqiao Hu Yijie Peng 8 7 0 27 Jan 2022
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 29 81 0 10 Jun 2020
Neural Approaches to Conversational AI Jianfeng Gao Michel Galley Lihong Li 32 666 0 21 Sep 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 150 495 0 08 Apr 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li-Jia Li Li Fei-Fei Abhinav Gupta LRM GNN 24 212 0 29 Mar 2018
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael Bechtel Elise McEllhiney Minje Kim H. Yun 11 103 0 19 Dec 2017
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 118 927 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 109 594 0 28 Feb 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 254 1,895 0 10 Jan 2017
An Alternative Softmax Operator for Reinforcement Learning Kavosh Asadi Michael L. Littman 6 10 0 16 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016
Dialogue Learning With Human-In-The-Loop Jiwei Li Alexander H. Miller S. Chopra MarcÁurelio Ranzato Jason Weston OffRL 216 134 0 29 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,319 0 05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems Layla El Asri Jing He Kaheer Suleman 49 117 0 30 Jun 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 198 1,325 0 05 Jun 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 207 718 0 12 May 2016
Q-learning with censored data Y. Goldberg Michael R. Kosorok OffRL 57 135 0 30 May 2012
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 155 221 0 22 May 2012