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Hidden Parameter Recurrent State Space Models For Changing Dynamics
  Scenarios

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios

29 June 2022
Vaisakh Shaj
Dieter Buchler
Rohit Sonker
P. Becker
Gerhard Neumann
ArXivPDFHTML

Papers citing "Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios"

4 / 4 papers shown
Title
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
76
1
0
20 Feb 2025
Zero-Shot Reinforcement Learning via Function Encoders
Zero-Shot Reinforcement Learning via Function Encoders
Tyler Ingebrand
Amy Zhang
Ufuk Topcu
OffRL
22
2
0
30 Jan 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic
  Motion
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
Simon Guist
Jan Schneider
Hao Ma
Le Chen
V. Berenz
...
Felix Gruninger
M. Muhlebach
J. Fiene
Bernhard Schölkopf
Dieter Buchler
35
4
0
05 Jul 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1