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Modifying RL Policies with Imagined Actions: How Predictable Policies
  Can Enable Users to Perform Novel Tasks

Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks

10 December 2023
Isaac S. Sheidlower
Reuben M. Aronson
E. Short
    OffRL
ArXivPDFHTML

Papers citing "Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks"

4 / 4 papers shown
Title
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
D. Fox
LM&Ro
155
456
0
12 Sep 2022
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan R. Paleja
Muyleng Ghuy
Nadun R. Arachchige
Reed Jensen
Matthew C. Gombolay
70
63
0
08 Sep 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
873
0
21 Oct 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences
Lifelong Robotic Reinforcement Learning by Retaining Experiences
Annie Xie
Chelsea Finn
OffRL
CLL
104
43
0
19 Sep 2021
1