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Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning

Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning

Simon Guist
Jan Schneider-Barnes
Alexander Dittrich
V. Berenz
Bernhard Schölkopf
Dieter Buchler
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Papers citing "Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning"

5 / 5 papers shown
Title
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology
Pierre Schumacher
Lorenz Krause
Jan Schneider-Barnes
Dieter Buchler
Georg Martius
D. Haeufle
10
0
0
08 Feb 2024
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
V. Berenz
Felix Widmaier
Simon Guist
Bernhard Schölkopf
Dieter Buchler
17
0
0
16 Jun 2023
Sim and Real: Better Together
Sim and Real: Better Together
Shirli Di-Castro Shashua
Dotan DiCastro
Shie Mannor
51
11
0
01 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
212
413
0
16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020