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Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration
23 September 2015
Christopher Xie
S. Patil
T. Moldovan
Sergey Levine
Pieter Abbeel
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Papers citing
"Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration"
10 / 10 papers shown
Title
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
31
326
0
02 May 2022
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub
Zeyu Jia
Csaba Szepesvári
Mengdi Wang
Lin F. Yang
OffRL
59
299
0
01 Jun 2020
Causally Correct Partial Models for Reinforcement Learning
Danilo Jimenez Rezende
Ivo Danihelka
George Papamakarios
Nan Rosemary Ke
Ray Jiang
...
Jane X. Wang
Jovana Mitrović
F. Besse
Ioannis Antonoglou
Lars Buesing
AI4TS
29
33
0
07 Feb 2020
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen
Kevin A. Smith
J. Tenenbaum
LRM
31
108
0
22 Jul 2019
Shaping Belief States with Generative Environment Models for RL
Karol Gregor
Danilo Jimenez Rezende
F. Besse
Yan Wu
Hamza Merzic
Aaron van den Oord
OffRL
AI4CE
30
118
0
21 Jun 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
19
33
0
13 May 2019
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
31
19
0
25 Jun 2018
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
13
1,224
0
16 Nov 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
L. Tai
Ming Liu
27
103
0
06 Oct 2016
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel
Alekh Agarwal
Fernando Diaz
A. Krishnamurthy
Robert Schapire
OffRL
83
43
0
14 Mar 2016
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