This paper presents a general fuzzy reinforcement learning (FRL) method for biped dynamic balance control. Based on a neuro-fuzzy network architecture, di erent kinds of expert knowledge and measurement-based information can be incorporated into the FRL agent to initialise its action network, critic
β¦ LIBER β¦
Incorporation of perception-based information in robot learning using fuzzy reinforcement learning agents
β Scribed by Zhou Changjiu; Meng Qingchun; Guo Zhongwen; Qu Wiefen; Yin Bo
- Book ID
- 107509940
- Publisher
- SP Science Press
- Year
- 2002
- Tongue
- English
- Weight
- 827 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1672-5182
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