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Exploration in a gridworld which has a cliff
| Content Provider | Semantic Scholar |
|---|---|
| Author | Imada, Akira |
| Copyright Year | 2009 |
| Abstract | In this project, we study machine learning techniques such as Genetic Algorithm (GA), artificial Neural Network (NN), Reinforcement Learning (RL), and so on, by observing an artificial agent who travels a virtual world called a gridworld. The world has the point for the agent to start with, the point for the agent to aim as a goal, and dangerous cliff to which if the agent fall the agent will die. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://neuro.bstu.by/ai/cliff-walking.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |