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updated readme
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@joshuaspear
joshuaspear committed Jul 17, 2024
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Expand Up @@ -97,6 +97,7 @@ The different kinds of importance samples can also be visualised by querying the
* Added explicit stochastic policies for d3rlpy
* Introduced 'policy_func' which is any function/method which outputs type Union[TorchPolicyReturn, NumpyPolicyReturn]
* Simplified and unified ISCallback in d3rlpy/api using PolicyFactory
* Added 'premade' doubly robust estimators for vanilla DR, weighted DR, per-decision DR and weighted per-decision DR

#### 5.0.1
* Fixed bug where GreedyDeterministic couldn't handle multi-dimensional action spaces
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