Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search
From MaRDI portal
Publication:2871460
DOI10.1613/jair.4117zbMath1361.68179OpenAlexW2149586740MaRDI QIDQ2871460
David Silver, Arthur Guez, Peter Dayan
Publication date: 8 January 2014
Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1613/jair.4117
Related Items (4)
Reward Maximization Through Discrete Active Inference ⋮ Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains ⋮ Unnamed Item ⋮ Learning and planning in partially observable environments without prior domain knowledge
This page was built for publication: Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search