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>"RL is quite hard and math heavy" Is it really math heavy? Its not like people are working out these algorithms by hand. I haven't done RL but would assume yo
by nonbel 8y ago
>"RL is quite hard and math heavy"
Is it really math heavy? Its not like people are working out these algorithms by hand. I haven't done RL but would assume you just need to download some libraries and tutorials then play around with it to get an understanding. This may go faster if you already read a book about it, worked out the math behind how it works, etc but that shouldn't be necessary.
- yonkshi 8y agoFor very limited applications you can probably plug and play something like DDQN or A3C, but since we don't have a good algorithm that applies to many RL problems, any innovation will take quite a bit of theoretical background. A while ago we tried to use DDQN to self-play a multi-agent pacman environment that we built, it was able to converge but the convergence was very suboptimal. We had to modify the sampling process in order to get slightly better convergence.