Adaptive Inner-reward Shaping in Sparse Reward Games

Reinforcement learning focuses on goal-directed learning from interaction and the success of its applications strongly depends on how well the reward signal frames the problem and how well it assesses progress in solving it. But in many real-world scenarios, the agent is supplied with extremely spar...

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Bibliographic Details

Published in:	Proceedings of ... International Joint Conference on Neural Networks pp. 1 - 8
Main Authors:	Yang, Dong, Tang, Yuhua
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2020
Subjects:	Computational modeling Football game Games Inner-rewards Markov processes Neuroscience Reinforcement learning Reward shaping Sports Task analysis
ISSN:	2161-4407
Online Access:	Get full text
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