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Relationship Explainable Multi-objective Reinforcement Learning with
  Semantic Explainability Generation

Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation

26 September 2019
Huixin Zhan
Yongcan Cao
ArXivPDFHTML

Papers citing "Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation"

16 / 16 papers shown
Title
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
126
1,266
0
10 Oct 2018
A Multi-Objective Deep Reinforcement Learning Framework
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen
Ngoc Duy Nguyen
Peter Vamplew
Saeid Nahavandi
Richard Dazeley
Chee Peng Lim
OffRL
56
110
0
08 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
285
18,685
0
20 Jul 2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
OffRL
56
336
0
13 Apr 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
188
5,056
0
05 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
358
18,300
0
27 May 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
74
3,742
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
210
3,781
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
146
7,590
0
22 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
91
852
0
31 Jul 2015
Massively Parallel Methods for Deep Reinforcement Learning
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair
Praveen Srinivasan
Sam Blackwell
Cagdas Alcicek
Rory Fearon
...
Stig Petersen
Shane Legg
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
OffRL
AI4CE
GNN
82
504
0
15 Jul 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
60
3,368
0
08 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
254
6,722
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
Move Evaluation in Go Using Deep Convolutional Neural Networks
Move Evaluation in Go Using Deep Convolutional Neural Networks
Chris J. Maddison
Aja Huang
Ilya Sutskever
David Silver
FAtt
55
134
0
20 Dec 2014
A Survey of Multi-Objective Sequential Decision-Making
A Survey of Multi-Objective Sequential Decision-Making
D. Roijers
Peter Vamplew
Shimon Whiteson
Richard Dazeley
77
648
0
04 Feb 2014
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