Solving the Rubik's cube with deep reinforcement learning and search
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 …
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 …
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 …
problem solving. The authors present a thorough overview of heuristic search with a balance …
[PDF][PDF] Admissible heuristics for optimal planning
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whuh~ fim, ily of Imlyutmlial att, I a, huissild," houristi,'s that Ira, b. avt: uracy fitr ('fiici (. ncy …
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 …
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 …
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
Many areas of computer science require answering questions about reachability in
compactly described discrete transition systems. Answering such questions effectively …
compactly described discrete transition systems. Answering such questions effectively …
Adaptively Informed Trees (AIT*): Fast asymptotically optimal path planning through adaptive heuristics
Informed sampling-based planning algorithms exploit problem knowledge for better search
performance. This knowledge is often expressed as heuristic estimates of solution cost and …
performance. This knowledge is often expressed as heuristic estimates of solution cost and …
Anytime search in dynamic graphs
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 …
actions. Producing optimal plans is infeasible in these scenarios. Instead, agents must be …
Enhanced partial expansion A
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 …
generate a large number of nodes whose cost is greater than the cost of the optimal solution …