HandyRL
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(To be discussed) (Idea) feature: multi dimensional reward
Do we delete OUTCOME, or use OUTCOME as the first dimension of REWARD if it is defined?
My first impression was that this change could be closer to the implementation of general reinforcement learning. Also, it can be a simple code 👍
However, I think a user must pay attention to the first dimension of multi-reward is the outcome. How can we set gamma
in games with no outcome? like gamma: [1, 0.99]?
Yes, gamm: [1, 0.99] will work.
Warnings for over length need to be added.