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 Reinforcement Learning Adaptive Fuzzy Controller for Differential Games
β Scribed by Sidney N. Givigi; Howard M. Schwartz; Xiaosong Lu
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Weight
- 806 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0921-0296
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