The Bottleneck Simulator: A Model-based Deep Reinforcement Learning
Approach

The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach

12 July 2018

Chinnadhurai Sankar

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Papers citing "The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach"

16 / 16 papers shown

Title
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 152 1,263 0 30 Nov 2018
Conversational AI: The Science Behind the Alexa Prize A. Ram R. Prasad Chandra Khatri Anu Venkatesh Raefer Gabriel ... Yi Pan Han Song Sk Jayadevan Gene Hwang Art Pettigrue 83 282 0 11 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 153 1,782 0 05 Dec 2017
Deal or No Deal? End-to-End Learning for Negotiation Dialogues M. Lewis Denis Yarats Yann N. Dauphin Devi Parikh Dhruv Batra LLMAG 101 415 0 16 Jun 2017
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning Abhishek Das Satwik Kottur J. M. F. Moura Stefan Lee Dhruv Batra OffRL 124 425 0 20 Mar 2017
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 121 788 0 03 Oct 2016
Continuously Learning Neural Dialogue Management Pei-hao Su Milica Gasic N. Mrksic L. Rojas-Barahona Stefan Ultes David Vandyke Tsung-Hsien Wen S. Young 74 122 0 08 Jun 2016
Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning Tiancheng Zhao M. Eskénazi 80 265 0 08 Jun 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 129 3,438 0 08 Jun 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013
Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes T. Dean R. Givan Sonia M. Leach 83 140 0 06 Feb 2013
Hierarchical Solution of Markov Decision Processes using Macro-actions Milos Hauskrecht Nicolas Meuleau L. Kaelbling T. Dean Craig Boutilier 109 330 0 30 Jan 2013
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 82 320 0 11 Jul 2012
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System Michael Kearns Diane Litman Satinder Singh M. Walker OffRL 86 426 0 03 Jun 2011
An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email M. Walker 92 244 0 01 Jun 2011
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage Craig Boutilier T. Dean S. Hanks 121 1,314 0 27 May 2011

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