Why does the Reinforcement Learning 'sim' command terminate early?
显示 更早的评论
Why does the reinforcement command 'sim' terminate early? Please refer to the link below for more information on 'sim':
采纳的回答
MathWorks Support Team
2023-11-17
编辑：MathWorks Support Team
2023-11-17
The 'sim' command for a Reinforcement Learning environment terminates early because the default number of 'MaxSteps' in 'sim' is 500. To increase the number of steps taken in 'sim', use:
>> simOptions = rlSimulationOptions('MaxSteps', <number of steps>);
Then simulate using the command:
>> sim(env, agent, simOptions);
More information on 'rlSimulationOptions' can be found by referencing the link below:
More information on 'sim' can be found by referencing the link below:
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Reinforcement Learning Toolbox 的更多信息
2022-7-19
2023-11-17
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
