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Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation

Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation

Neural Information Processing Systems (NeurIPS), 2019
3 December 2019
Samuel K. Ainsworth
Matt Barnes
S. Srinivasa
ArXiv (abs)PDFHTML

Papers citing "Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation"

3 / 3 papers shown
RLIF: Interactive Imitation Learning as Reinforcement Learning
RLIF: Interactive Imitation Learning as Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Jianlan Luo
Perry Dong
Yuexiang Zhai
Yi-An Ma
Sergey Levine
OffRL
388
25
0
21 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human
  Feedback
Autonomous Robotic Reinforcement Learning with Asynchronous Human FeedbackConference on Robot Learning (CoRL), 2023
Max Balsells
M. Torné
Zihan Wang
Samedh Desai
Pulkit Agrawal
Abhishek Gupta
269
13
0
31 Oct 2023
MOReL : Model-Based Offline Reinforcement Learning
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi
Aravind Rajeswaran
Praneeth Netrapalli
Thorsten Joachims
OffRL
496
762
0
12 May 2020
1
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