Solving the Rubik's cube with deep reinforcement learning and search

F Agostinelli, S McAleer, A Shmakov… - Nature Machine …, 2019 - nature.com
The Rubik's cube is a prototypical combinatorial puzzle that has a large state space with a
single goal state. The goal state is unlikely to be accessed using sequences of randomly …

[KİTAP][B] Algorithms and theory of computation handbook, volume 2: special topics and techniques

MJ Atallah, M Blanton - 2009 - books.google.com
This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

[KİTAP][B] Heuristic search: theory and applications

S Edelkamp, S Schrödl - 2011 - books.google.com
Search has been vital to artificial intelligence from the very beginning as a core technique in
problem solving. The authors present a thorough overview of heuristic search with a balance …

[PDF][PDF] Admissible heuristics for optimal planning

PHH Geffner, P Haslum - Proceedings of the 5th Internat. Conf. of AI …, 2000 - cdn.aaai.org
Tit ('maiu c. ntrilmti,, n is tit (. id,'a un, h. riyivg tht" Imuristic th~ Lt yivhIs nt (tilt" 11111". i't
whuh~ fim, ily of Imlyutmlial att, I a, huissild," houristi,'s that Ira, b. avt: uracy fitr ('fiici (. ncy …

Partial symbolic pattern databases for optimal sequential planning

S Edelkamp, P Kissmann - Annual Conference on Artificial Intelligence, 2008 - Springer
This paper investigates symbolic heuristic search with BDDs for solving domain-
independent action planning problems cost-optimally. By distributing the impact of operators …

[KİTAP][B] Handbuch der künstlichen Intelligenz

G Görz, CR Rollinger, J Schneeberger - 2003 - degruyter.com
Liste der Autoren Page 1 Liste der Autoren Clemens Beckstein Gerhard Brewka Christian
Borgelt Wolfram Burgard Hans-Dieter Burkhard Stephan Busemann Thomas Christaller Leonie …

Merge-and-shrink abstraction: A method for generating lower bounds in factored state spaces

M Helmert, P Haslum, J Hoffmann… - Journal of the ACM (JACM), 2014 - dl.acm.org
Many areas of computer science require answering questions about reachability in
compactly described discrete transition systems. Answering such questions effectively …

Adaptively Informed Trees (AIT*): Fast asymptotically optimal path planning through adaptive heuristics

MP Strub, JD Gammell - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Informed sampling-based planning algorithms exploit problem knowledge for better search
performance. This knowledge is often expressed as heuristic estimates of solution cost and …

Anytime search in dynamic graphs

M Likhachev, D Ferguson, G Gordon, A Stentz… - Artificial Intelligence, 2008 - Elsevier
Agents operating in the real world often have limited time available for planning their next
actions. Producing optimal plans is infeasible in these scenarios. Instead, agents must be …

Enhanced partial expansion A

M Goldenberg, A Felner, R Stern, G Sharon… - Journal of Artificial …, 2014 - jair.org
When solving instances of problem domains that feature a large branching factor, A* may
generate a large number of nodes whose cost is greater than the cost of the optimal solution …