Learning of Active Perception Based on Reinforcement Learning
نویسندگان
چکیده
منابع مشابه
APRIL: Active Preference Learning-Based Reinforcement Learning
This paper focuses on reinforcement learning (RL) with limited prior knowledge. In the domain of swarm robotics for instance, the expert can hardly design a reward function or demonstrate the target behavior, forbidding the use of both standard RL and inverse reinforcement learning. Although with a limited expertise, the human expert is still often able to emit preferences and rank the agent de...
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15 صفحه اولAPRIL: Active Preference-based Reinforcement Learning
This work tackles in-situ robotics: the goal is to learn a policy while the robot operates in the real-world, with neither ground truth nor rewards. The proposed approach is based on preference-based policy learning: Iteratively, the robot demonstrates a few policies, is informed of the expert’s preferences about the demonstrated policies, constructs a utility function compatible with all exper...
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ژورنال
عنوان ژورنال: The Brain & Neural Networks
سال: 1996
ISSN: 1883-0455,1340-766X
DOI: 10.3902/jnns.3.126