Sample-based tree search with fixed and adaptive state abstractions
Sample-based tree search (SBTS) is an approach to solving Markov decision problems
based on constructing a lookahead search tree using random samples from a generative …
based on constructing a lookahead search tree using random samples from a generative …
[PDF][PDF] Sample-Based Tree Search with Fixed and Adaptive State Abstractions
J Hostetler, A Fern, T Dietterich - Journal of Artificial Intelligence …, 2017 - scholar.archive.org
Sample-based tree search (SBTS) is an approach to solving Markov decision problems
based on constructing a lookahead search tree using random samples from a generative …
based on constructing a lookahead search tree using random samples from a generative …
[PDF][PDF] Sample-Based Tree Search with Fixed and Adaptive State Abstractions
J Hostetler, A Fern, T Dietterich - Journal of Artificial Intelligence Research, 2017 - jair.org
Sample-based tree search (SBTS) is an approach to solving Markov decision problems
based on constructing a lookahead search tree using random samples from a generative …
based on constructing a lookahead search tree using random samples from a generative …
Sample-Based Tree Search with Fixed and Adaptive State Abstractions
J Hostetler, A Fern, T Dietterich - The Journal of Artificial …, 2017 - search.proquest.com
Sample-based tree search (SBTS) is an approach to solving Markov decision problems
based on constructing a lookahead search tree using random samples from a generative …
based on constructing a lookahead search tree using random samples from a generative …