Oct 5, 2022 · In this paper, we argue that distillation -- a process that aims at imitating a set of given policies with a single neural network -- can be used to learn a ...
Learning a good state representation is a critical skill when dealing with multiple tasks in Reinforcement Learning as it.
Oct 5, 2022 · In this paper, we argue that distillation -- a process that aims at imitating a set of given policies with a single neural network -- can be used to learn a ...
Duration: 14:16
Posted: Oct 25, 2022
Posted: Oct 25, 2022
Predictive learning enables neural networks to learn ... Neural Distillation as a State Representation Bottleneck in Reinforcement Learning - CoLLAs 2022.
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Jun 23, 2023 · Neural Distillation as a State Representation Bottleneck in Reinforcement Learning (CoLLAs 2022): This paper focuses on the state representation ...
In this paper, we argue that distillation -- a process that aims at imitating a set of given policies with a single neural network -- can be used to learn a ...
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning ... Learning a good state representation is a critical skill when ...
Self-Activating Neural Ensembles for Continual Reinforcement Learning ... Neural Distillation as a State Representation Bottleneck in Reinforcement Learning.
Mar 14, 2024 · ... Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. 2022, Conference on Lifelong Learning Agents 2022, 2022 ...