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There are some cases about multi-dimension rewards, both for environments and algorithms:
some complicated env, such as auto-drive, speed, stability, collision and other elements can lead to some kinds of reward
some algorithm designs, such as intrinsic reward in exploration related algorithm
But If we want to use multi value/q network to learn different rewards, we need to do some non-trivial modifications in current DI-engine policy, so we need a general design and validate its necessary in performance.
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Motivation
There are some cases about multi-dimension rewards, both for environments and algorithms:
But If we want to use multi value/q network to learn different rewards, we need to do some non-trivial modifications in current DI-engine policy, so we need a general design and validate its necessary in performance.
Plan
TODO
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