How do I define a continuous reward function for RL environment?
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Prashanth Chivkula
2020 年 10 月 5 日
コメント済み: Emmanouil Tzorakoleftherakis
2020 年 10 月 12 日
I am trying to follow the double integrator example for giving a continuous reward function. When I used the custom template, and defined the reward using the QR cost function, I get an error stating that the reward should be a scalar value. Where can I find the property of reward and change it to accept vector values?
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Priysha LNU
2020 年 10 月 8 日
Here is an excerpt from the documentation :
To guide the learning process, reinforcement learning uses a scalar reward signal generated from the environment.
For detailed information on defining reward signals, discrete and continous rewards, please refer to this documentation link.
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