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
A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance
โ Scribed by Cang Ye; Yung, N.H.C.; Danwei Wang
- Book ID
- 117938046
- Publisher
- IEEE
- Year
- 2003
- Tongue
- English
- Weight
- 1017 KB
- Volume
- 33
- Category
- Article
- ISSN
- 1083-4419
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