This intermediate code, also known as intermediate representation (IR), is then passed on to the next phase of the compiler, which is typically code optimization and code generation.

In this paper, we focus on how values are backpropagated in the MCTS tree, and apply complex return strategies from the Reinforcement Learning (RL) literature to MCTS, producing 4 new MCTS variants.

This tree—which contains hundreds of tips—has been further simplified by collapsing clades of related tips, although two fully-expanded clades are shown in panels B and C. Sequences do not always ...