approach, which we call learning through advice-seeking via transfer (LAST), is to transfer knowledge from a source domain to generate a set of potential advice.
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To this effect, we propose using transfer learning, leveraging knowledge in alternative domains, to guide the expert to give useful advice. This knowledge is ...
To this effect, we propose using transfer learning, leveraging knowledge in alternative domains, to guide the expert to give useful advice. This knowledge is ...
To this effect, we propose using transfer learning, leveraging knowledge in alternative domains, to guide the expert to give useful advice. This knowledge is ...
We describe a trans- fer method in which a reinforcement learner analyzes its experience in the source task and learns rules to use as advice in the target task ...
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We describe a transfer method in which a reinforcement learner analyzes its experience in the source task and learns rules to use as advice in the target task.
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive ...
Accelerating imitation learning in relational domains via transfer by initialization ... Learning through advice-seeking via transfer. P Odom, R Kumaraswamy, K ...
We describe a transfer method in which a reinforcement learner analyzes its experience in the source task and learns rules to use as advice in the target task.
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Abstract. Reinforcement learning (RL) is a machine learning technique with strong links to natural learning. How- ever, it shares several “unnatural” ...
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