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Incentivizing Exploration In Reinforcement Learning With Deep Predictive
  Models

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

3 July 2015
Bradly C. Stadie
Sergey Levine
Pieter Abbeel
ArXivPDFHTML

Papers citing "Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models"

15 / 115 papers shown
Title
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
78
2,401
0
15 May 2017
On Improving Deep Reinforcement Learning for POMDPs
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu
Xin Li
Pascal Poupart
Guanghui Miao
29
123
0
26 Apr 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam
S. Shankar Sastry
40
235
0
06 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
109
1,505
0
25 Jan 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
60
760
0
15 Nov 2016
Multi-Objective Deep Reinforcement Learning
Multi-Objective Deep Reinforcement Learning
Hossam Mossalam
Yannis Assael
D. Roijers
Shimon Whiteson
35
151
0
09 Oct 2016
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for
  Task-Oriented Dialogue Systems
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
40
6
0
17 Aug 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
55
1,459
0
06 Jun 2016
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in
  ATARI Games
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Xiaoxiao Guo
Satinder Singh
Richard L. Lewis
Honglak Lee
30
55
0
24 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
25
1,127
0
20 Apr 2016
Dialog-based Language Learning
Dialog-based Language Learning
Jason Weston
LLMAG
24
108
0
20 Apr 2016
Exploratory Gradient Boosting for Reinforcement Learning in Complex
  Domains
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel
Alekh Agarwal
Fernando Diaz
A. Krishnamurthy
Robert Schapire
OffRL
80
43
0
14 Mar 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
21
147
0
08 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
29
3,733
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
132
3,766
0
18 Nov 2015
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