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public:t-622-arti-11-1:lab_2_materials [2011/01/19 15:44]
angelo
public:t-622-arti-11-1:lab_2_materials [2011/01/19 15:48] (current)
angelo
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                 1000)                 1000)
 </code>This will return the **number** of **experiments** performed, and the **average performance value**. </code>This will return the **number** of **experiments** performed, and the **average performance value**.
-  - **Comparing different agents**:\\ Try different agents (e.g. random-agent-program) and **different performance measures**. Does the agent with state behave better than the others with any particular performance measure? You can add print commands to the experiment functions to get more information about the agents behaviour if you like.+  - **Comparing Different Agents**:\\ Try different agents (e.g. random-agent-program) and **different performance measures**. Does the agent with state behave better than the others with any particular performance measure? You can add print commands to the experiment functions to get more information about the agents behaviour if you like.
   - **Building an Orderly Agent (EXTRA)**:\\ Try to create an agent called **orderly-moving-agent-program** that moves through the environment with some orderly pattern (i.e. from left to right, then down, right to left, down and so on...). Make sure it visits all the squares and cleans the dirty ones. Is the orderly agent more efficient than the random one?   - **Building an Orderly Agent (EXTRA)**:\\ Try to create an agent called **orderly-moving-agent-program** that moves through the environment with some orderly pattern (i.e. from left to right, then down, right to left, down and so on...). Make sure it visits all the squares and cleans the dirty ones. Is the orderly agent more efficient than the random one?
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