2 votes

Converging to a wrong optimal policy if the agent is given more choices

Reinforcement Learning is really fun because the agent will find any bug in your implementation and will exploit it. ...
Kostya's user avatar
  • 2,524
1 vote

Is Monte Carlo Tree Search appropriate for problems with large state and action spaces?

MCTS is often said to be a good choice for problems with large branching factors... but the context where that sentiment comes from is that it originally became popular for playing the game of Go, as ...
Dennis Soemers's user avatar
  • 10.3k

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