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Learning Robust Options by Conditional Value at Risk Optimization

Learning Robust Options by Conditional Value at Risk Optimization

22 May 2019
Takuya Hiraoka
Takahisa Imagawa
Tatsuya Mori
Takashi Onishi
Yoshimasa Tsuruoka
ArXivPDFHTML

Papers citing "Learning Robust Options by Conditional Value at Risk Optimization"

16 / 16 papers shown
Title
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
72
446
0
18 Dec 2018
Soft-Robust Actor-Critic Policy-Gradient
Soft-Robust Actor-Critic Policy-Gradient
E. Derman
D. Mankowitz
Timothy A. Mann
Shie Mannor
21
62
0
11 Mar 2018
Learning Robust Options
Learning Robust Options
D. Mankowitz
Timothy A. Mann
Pierre-Luc Bacon
Doina Precup
Shie Mannor
22
48
0
09 Feb 2018
Learnings Options End-to-End for Continuous Action Tasks
Learnings Options End-to-End for Continuous Action Tasks
Martin Klissarov
Pierre-Luc Bacon
J. Harb
Doina Precup
23
55
0
30 Nov 2017
Meta Learning Shared Hierarchies
Meta Learning Shared Hierarchies
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
45
350
0
26 Oct 2017
Benchmark Environments for Multitask Learning in Continuous Domains
Benchmark Environments for Multitask Learning in Continuous Domains
Peter Henderson
Wei-Di Chang
Florian Shkurti
Johanna Hansen
David Meger
Gregory Dudek
24
40
0
14 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
201
18,685
0
20 Jul 2017
Robust Adversarial Reinforcement Learning
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
73
848
0
08 Mar 2017
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran
Sarvjeet Ghotra
Balaraman Ravindran
Sergey Levine
96
349
0
05 Oct 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
41
1,076
0
16 Sep 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
164
5,048
0
05 Jun 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
46
1,130
0
20 Apr 2016
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
35
3,368
0
08 Jun 2015
Algorithms for CVaR Optimization in MDPs
Algorithms for CVaR Optimization in MDPs
Yinlam Chow
Mohammad Ghavamzadeh
52
198
0
12 Jun 2014
Optimizing the CVaR via Sampling
Optimizing the CVaR via Sampling
Aviv Tamar
Yonatan Glassner
Shie Mannor
39
186
0
15 Apr 2014
Compositional Planning Using Optimal Option Models
Compositional Planning Using Optimal Option Models
David Silver
K. Ciosek
43
73
0
27 Jun 2012
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