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Where Do You Think You're Going?: Inferring Beliefs about Dynamics from
  Behavior

Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior

21 May 2018
S. Reddy
Anca Dragan
Sergey Levine
ArXivPDFHTML

Papers citing "Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior"

16 / 16 papers shown
Title
Assisted Perception: Optimizing Observations to Communicate State
Assisted Perception: Optimizing Observations to Communicate State
S. Reddy
Sergey Levine
Anca Dragan
64
15
0
06 Aug 2020
Learning Models for Shared Control of Human-Machine Systems with Unknown
  Dynamics
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
Alexander Broad
Todd Murphey
B. Argall
31
47
0
24 Aug 2018
Shared Autonomy via Deep Reinforcement Learning
Shared Autonomy via Deep Reinforcement Learning
S. Reddy
Anca Dragan
Sergey Levine
52
180
0
06 Feb 2018
Occam's razor is insufficient to infer the preferences of irrational
  agents
Occam's razor is insufficient to infer the preferences of irrational agents
Stuart Armstrong
Sören Mindermann
65
93
0
15 Dec 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
121
751
0
30 Oct 2017
FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion
  Planning
FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning
Sylvia Herbert
Mo Chen
Soojean Han
Somil Bansal
J. F. Fisac
Claire Tomlin
53
237
0
21 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
98
1,340
0
27 Feb 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
214
5,075
0
05 Jun 2016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards
  and Dynamics
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Michael Herman
Tobias Gindele
Jörg Wagner
Felix Schmitt
Wolfram Burgard
49
72
0
13 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
948
0
01 Mar 2016
Learning the Preferences of Ignorant, Inconsistent Agents
Learning the Preferences of Ignorant, Inconsistent Agents
Owain Evans
Andreas Stuhlmuller
Noah D. Goodman
48
128
0
18 Dec 2015
Maximum Entropy Deep Inverse Reinforcement Learning
Maximum Entropy Deep Inverse Reinforcement Learning
Markus Wulfmeier
Peter Ondruska
Ingmar Posner
OOD
70
406
0
17 Jul 2015
Shared Autonomy via Hindsight Optimization
Shared Autonomy via Hindsight Optimization
Shervin Javdani
S. Srinivasa
J. Andrew Bagnell
58
195
0
26 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Time-Inconsistent Planning: A Computational Problem in Behavioral
  Economics
Time-Inconsistent Planning: A Computational Problem in Behavioral Economics
Jon M. Kleinberg
Sigal Oren
38
49
0
06 May 2014
Apprenticeship Learning using Inverse Reinforcement Learning and
  Gradient Methods
Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods
Gergely Neu
Csaba Szepesvári
75
243
0
20 Jun 2012
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