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Nov 28, 2023 · Ultimately we conclude that time symmetry shows promise in enhancing the sample efficiency of reinforcement learning and provide guidance when ...
The central hypothesis of this work is that utilizing time symmetric data can improve sample efficiency in reinforcement learning if the underlying environment ...
Ultimately we conclude that time symmetry shows promise in robot learning, but only if the environment and reward structure are of an appropriate form.
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Nov 28, 2023 · learning formulation. 2. Page 3. An Investigation of Time Reversal Symmetry in Reinforcement Learning. Finally, data augmentation (DA) has been ...
An Investigation of Time Reversal Symmetry in Reinforcement Learning. International Conference on Learning for Dynamics & Control (L4DC). pdf. Khan, H ...
Volume 242: 6th Annual Learning for Dynamics & Control Conference, 15 ...
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An investigation of time reversal symmetry in reinforcement learning. Brett ... Pointwise-in-time diagnostics for reinforcement learning during training and ...
May 22, 2012 · I thought of a thought experiment that had me questioning how time reversal works in quantum mechanics and the implications.
Missing: Investigation Reinforcement
4 days ago · TREAT introduces a novel Time-Reversal Symmetry (TRS) loss that improves long-term prediction accuracy. Achieved an 11.5% reduction in Mean ...
To the best of the authors' knowledge, this is the first offline RL method that demonstrates promising performance on extremely small datasets. 2 Preliminaries.
Sep 27, 2018 · We show that cutting-edge reinforcement learning (RL) algorithms can learn to prepare a desired quantum state quickly and accurately.