Check for updates Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
A Saffidine, T Cazenave¹ - … , LION 17, Nice, France, June 4–8 …, 2023 - books.google.com
… e = 0.1 means there is 10% probability to take a random initialization for the literal, and so
on… Probabilistic MDP-behavior planning for cars. In: 2011 14th International IEEE Conference …
on… Probabilistic MDP-behavior planning for cars. In: 2011 14th International IEEE Conference …
Q-value regularized transformer for offline reinforcement learning
… Incorporating probabilistic statistics from multiple trajectories offers a promising solution
for sub-optimal data, which guides policy behaviors with learned estimated returns from the …
for sub-optimal data, which guides policy behaviors with learned estimated returns from the …
[图书][B] Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning in Complex Manufacturing Systems
ML Hoffman - 2021 - search.proquest.com
… Throughout this work, we specify the machine degradation transition probabilities, though
several methods exist for estimating a Markov degradation transition matrix from observed data…
several methods exist for estimating a Markov degradation transition matrix from observed data…
[HTML][HTML] 基于博弈论的多车智能驾驶交互决策综述
衣鹏， 潘越， 王文远， 刘政钦， 洪奕光 - 2023 - kzyjc.alljournals.cn
… -vehicle driving to multi-vehicle driving in hybrid traffic scenarios. The main forthcoming
challenge is to generate high-quality trajectories that conform to vehicle … Multi-vehicle driving can …
challenge is to generate high-quality trajectories that conform to vehicle … Multi-vehicle driving can …