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oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally
  Extended Actions

oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions

20 February 2020
David Venuto
Jhelum Chakravorty
Léonard Boussioux
Junhao Wang
Gavin McCracken
Doina Precup
ArXiv (abs)PDFHTML

Papers citing "oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions"

17 / 17 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
283
30,149
0
01 Mar 2022
Metropolis-Hastings Generative Adversarial Networks
Metropolis-Hastings Generative Adversarial Networks
Ryan D. Turner
Jane Hung
Eric Frank
Yunus Saatci
J. Yosinski
GAN
60
99
0
28 Nov 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented
  Demonstrations using Directed Information
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Arjun Sharma
Mohit Sharma
Nicholas Rhinehart
Kris Kitani
62
68
0
29 Sep 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
50
55
0
30 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
129
757
0
30 Oct 2017
OptionGAN: Learning Joint Reward-Policy Options using Generative
  Adversarial Inverse Reinforcement Learning
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson
Wei-Di Chang
Pierre-Luc Bacon
David Meger
Joelle Pineau
Doina Precup
GAN
49
73
0
20 Sep 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
526
19,237
0
20 Jul 2017
Reverse Curriculum Generation for Reinforcement Learning
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
83
445
0
17 Jul 2017
Robust Imitation of Diverse Behaviors
Robust Imitation of Diverse Behaviors
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
81
198
0
10 Jul 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
69
150
0
30 May 2017
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRLAI4CEGAN
68
355
0
11 Nov 2016
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
64
1,088
0
16 Sep 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
239
2,403
0
21 Jun 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
159
3,119
0
10 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
84
1,695
0
22 Apr 2016
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks
  with Delayed Rewards
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards
S. Krishnan
Animesh Garg
Richard Liaw
Lauren Miller
Florian T. Pokorny
Ken Goldberg
61
40
0
21 Apr 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy
  Optimization
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn
Sergey Levine
Pieter Abbeel
108
951
0
01 Mar 2016
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