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To prepare RLtools for mixed-precision training we introduce a type policy numeric_types::Policy. Until now it was easy to switch the floating point type in RLtools because everything depended on the T parameter. For modern deep leraning this is not sufficient because we would like to configure different types for different parts of the models / algorithms (e.g. bf16 for parameters, fp32 f...
rl-tools/rl-tools as a monorepo to version everything in the RLtools universe together. This is not great if someone just wants the header-only library (aka just the ./include), one git clone --recursive or git submodule update --init --recursive could trigger gigabytes of downloads. Also, jumping around the history is cumbersome with all th...Release v1.1.0
Release v1.0.0