In this paper, a new reinforcement learning scheme is developed for a class of serial-link robot arms. Traditional reinforcement learning is the problem faced by an agent that must learn behavior through trial-and-error interactions with a dynamic environment. In the proposed reinforcement learning
Adaptive fuzzy control of satellite attitude by reinforcement learning
โ Scribed by van Buijtenen, W.M.; Schram, G.; Babuska, R.; Verbruggen, H.B.
- Book ID
- 118009549
- Publisher
- IEEE
- Year
- 1998
- Tongue
- English
- Weight
- 286 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1063-6706
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