I am considering using it but I had a few questions before diving deeper:
Does it support "multi-objective" that is having an array of rewards instead of a scalar (same for the discount factor) ?
Does it support asynchronous (or delayed batch inference) mcts (using for instance virtual losses) ?
How well does it behave when running on a non-vectorized cpu environment ?
How well do you think it could be integrated into a ray parallel framework ? For instance if I have a remote inference server that gets called by several processes (each taking care of their own mcts tree) and batches the requests before redispatching them to the processes
Does it perform well in single instance inference ?
Hi, thank you for your work.
I am considering using it but I had a few questions before diving deeper:
Many Thanks