eafan

3 ms·

1. 1.▲
   by eafan 9y ago

   In a rainforest there is no ‘best’ solution - John Holland
2. 2.▲
   by eafan 9y ago

   Clearly lack of a sound theoretical basis or proof for why deep learning works has not stopped its proliferation. For a practitioner, the proof is in the pudding: generalized results, novel solutions that provably work, new designs that ful
3. 3.▲
   by eafan 9y ago

   An important difference is the manner by which 'exploration' is codified in evolutionary algorithms, which allows for these algorithms to have a tune-able mix of hill-climbing and niche-finding. RL-based systems, Evolutionary Stra
4. 4.▲
   by eafan 9y ago

   There are well known problems that evolutionary systems are much better at solving than NNs. The multiplexer problem, for instance, or sorting networks, where the search space is too rugged or deceptive for neural network solutions.