Composition and decomposition learning of reaching movements under altered environments: An examination of the multiplicity of internal models.
Eri NakanoJohn R. FlanaganHiroshi ImamizuRieko OsuToshinori YoshiokaMitsuo KawatoPublished in: Systems and Computers in Japan (2002)
Keyphrases
- learning algorithm
- learning process
- learning models
- reinforcement learning
- accurate models
- prior knowledge
- learned models
- learning scheme
- multi agent systems
- online learning
- experimental data
- learning rules
- learning problems
- autonomous robots
- structural learning
- learning tasks
- probabilistic model
- artificial neural networks
- knowledge base