A couple of comments from the author of mc-aixi(fac-ctw).
There is a massive difference in generalisation ability between Solomonoff Induction and the scaled down Bayes mixture used by mc-aixi(fac-ctw). The mixture used in this approximation scales with more CPU power, however it will never get anywhere near the full power of Solomonoff Induction. The class of environments the agent supports is described in more detail in the paper Louie references.
Let's be clear though - 100 years of Moores Law would significantly improve the performance of even the cu... (read more)
Hi.
A couple of comments from the author of mc-aixi(fac-ctw).
There is a massive difference in generalisation ability between Solomonoff Induction and the scaled down Bayes mixture used by mc-aixi(fac-ctw). The mixture used in this approximation scales with more CPU power, however it will never get anywhere near the full power of Solomonoff Induction. The class of environments the agent supports is described in more detail in the paper Louie references.
Let's be clear though - 100 years of Moores Law would significantly improve the performance of even the cu... (read more)