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A Policy Search Method For Temporal Logic Specified Reinforcement
  Learning Tasks

A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks

27 September 2017
Xiao Li
Yao Ma
C. Belta
ArXivPDFHTML

Papers citing "A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks"

11 / 11 papers shown
Title
Reward Machines for Deep RL in Noisy and Uncertain Environments
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
75
7
0
31 May 2024
Reward Design in Cooperative Multi-agent Reinforcement Learning for
  Packet Routing
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing
Hangyu Mao
Zhibo Gong
Zhen Xiao
50
16
0
05 Mar 2020
Unsupervised Perceptual Rewards for Imitation Learning
Unsupervised Perceptual Rewards for Imitation Learning
P. Sermanet
Kelvin Xu
Sergey Levine
SSL
61
158
0
20 Dec 2016
Reinforcement Learning With Temporal Logic Rewards
Reinforcement Learning With Temporal Logic Rewards
Xiao Li
C. Vasile
C. Belta
45
214
0
11 Dec 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRL
SSL
99
1,477
0
03 Oct 2016
Path Integral Guided Policy Search
Path Integral Guided Policy Search
Yevgen Chebotar
Mrinal Kalakrishnan
Ali Yahya
A. Li
S. Schaal
Sergey Levine
56
149
0
03 Oct 2016
Guided Policy Search as Approximate Mirror Descent
Guided Policy Search as Approximate Mirror Descent
William H. Montgomery
Sergey Levine
54
125
0
15 Jul 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
147
2,371
0
21 Jun 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
141
2,071
0
07 Mar 2016
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
228
3,418
0
02 Apr 2015
Path Integral Policy Improvement with Covariance Matrix Adaptation
Path Integral Policy Improvement with Covariance Matrix Adaptation
F. Stulp
Olivier Sigaud
68
209
0
18 Jun 2012
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