Exact Algorithms and Lowerbounds for Multiagent Pathfinding: Power of
Treelike Topology
- URL: http://arxiv.org/abs/2312.09646v1
- Date: Fri, 15 Dec 2023 09:42:46 GMT
- Title: Exact Algorithms and Lowerbounds for Multiagent Pathfinding: Power of
Treelike Topology
- Authors: Foivos Fioravantes, Du\v{s}an Knop, Jan Maty\'a\v{s}
K\v{r}i\v{s}\v{t}an, Nikolaos Melissinos, Michal Opler
- Abstract summary: We focus on efficiently finding paths for a set of $k agents on a given graph $G, where each agent seeks a path from its source to a target.
An important measure of the quality of the solution is the length of the proposed schedule $ell$, that is, the length of a longest path.
We show that MAPF is W[1]-hard for cliquewidth of $G$ plus $ell$ while it is FPT for treewidth of $G$ plus $ell$.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In the Multiagent Path Finding problem (MAPF for short), we focus on
efficiently finding non-colliding paths for a set of $k$ agents on a given
graph $G$, where each agent seeks a path from its source vertex to a target. An
important measure of the quality of the solution is the length of the proposed
schedule $\ell$, that is, the length of a longest path (including the waiting
time). In this work, we propose a systematic study under the parameterized
complexity framework. The hardness results we provide align with many
heuristics used for this problem, whose running time could potentially be
improved based on our fixed-parameter tractability results.
We show that MAPF is W[1]-hard with respect to $k$ (even if $k$ is combined
with the maximum degree of the input graph). The problem remains NP-hard in
planar graphs even if the maximum degree and the makespan$\ell$ are fixed
constants. On the positive side, we show an FPT algorithm for $k+\ell$.
As we delve further, the structure of~$G$ comes into play. We give an FPT
algorithm for parameter $k$ plus the diameter of the graph~$G$. The MAPF
problem is W[1]-hard for cliquewidth of $G$ plus $\ell$ while it is FPT for
treewidth of $G$ plus $\ell$.
Related papers
- Approximating Optimal Labelings for Temporal Connectivity [7.394099294390271]
We study the problem of scheduling the availability time of the edges of a temporal graph in such a way that all pairs of vertices are connected within a given maximum allowed time $a$.
The problem, known as emphMinimum Aged Labeling (MAL), has several applications in logistics, distribution scheduling, and information spreading in social networks.
arXiv Detail & Related papers (2025-04-23T16:00:33Z) - Advances in quantum algorithms for the shortest path problem [0.18416014644193066]
We give two bounded-error quantum algorithms in the adjacency list model that solve the problem on structured instances.
The first approach is based on sparsifying the original graph via sampling the quantum flow state and running a classical algorithm on the smaller problem.
The second approach is based on a divide and conquer procedure that outputs the shortest path in $tildeO(lsqrtm)$ steps.
arXiv Detail & Related papers (2024-08-19T21:30:02Z) - A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering [18.29151197560866]
We consider the semi-random graph model of [Makarychev, Makarychev and Vijayaraghavan, STOC'12].
A time algorithm is known to approximate the Balanced Cut problem up to value $O(alpha)$ [MMV'12] as long as the cut $(A, B)$ has size $Omega(alpha)$.
We study the fine-grained complexity of the problem and present the first near-linear time subroutine that achieves similar performances to that of [MMV'12].
arXiv Detail & Related papers (2024-06-07T11:40:54Z) - Dynamic algorithms for k-center on graphs [3.568439282784197]
We give the first efficient algorithms for the $k$-center problem on dynamic graphs undergoing edge updates.
We show a reduction that leads to a fully dynamic $(2+epsilon)$-approximation algorithm for the $k$-center problem.
arXiv Detail & Related papers (2023-07-28T13:50:57Z) - Exponential speedup of quantum algorithms for the pathfinding problem [5.260626311429307]
We construct a graph $G$ based on welded trees and define a pathfinding problem in the adjacency list oracle $O$.
We prove that no classical algorithm can find an $x$-$y$ path in subexponential time with high probability.
Our findings suggest that quantum algorithms could potentially offer advantages in more types of graphs to solve the pathfinding problem.
arXiv Detail & Related papers (2023-07-24T02:50:34Z) - Parameterized Approximation for Robust Clustering in Discrete Geometric Spaces [2.687607197645453]
We show that even the special case of $k$-Center in dimension $Theta(log n)$ is $(sqrt3/2- o(1))$hard to approximate for FPT algorithms.
We also show that even the special case of $k$-Center in dimension $Theta(log n)$ is $(sqrt3/2- o(1))$hard to approximate for FPT algorithms.
arXiv Detail & Related papers (2023-05-12T08:43:28Z) - Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning [54.806166861456035]
We study the episodic reinforcement learning (RL) problem modeled by finite-horizon Markov Decision Processes (MDPs) with constraint on the number of batches.
We design a computational efficient algorithm to achieve near-optimal regret of $tildeO(sqrtSAH3Kln (1/delta))$tildeO(cdot) hides logarithmic terms of $(S,A,H,K)$ in $K$ episodes.
Our technical contribution are two-fold: 1) a near-optimal design scheme to explore
arXiv Detail & Related papers (2022-10-15T09:22:22Z) - Reward-Mixing MDPs with a Few Latent Contexts are Learnable [75.17357040707347]
We consider episodic reinforcement learning in reward-mixing Markov decision processes (RMMDPs)
Our goal is to learn a near-optimal policy that nearly maximizes the $H$ time-step cumulative rewards in such a model.
arXiv Detail & Related papers (2022-10-05T22:52:00Z) - Optimal Gradient Sliding and its Application to Distributed Optimization
Under Similarity [121.83085611327654]
We structured convex optimization problems with additive objective $r:=p + q$, where $r$ is $mu$-strong convex similarity.
We proposed a method to solve problems master to agents' communication and local calls.
The proposed method is much sharper than the $mathcalO(sqrtL_q/mu)$ method.
arXiv Detail & Related papers (2022-05-30T14:28:02Z) - Leveraging Unknown Structure in Quantum Query Algorithms [0.0]
We show a modified span program algorithm to show these speed-ups persist even without having a promise ahead of time.
Our algorithm uses $tildeO(sqrtkn)$ queries to solve this problem if there is a path with at most $k$ edges.
arXiv Detail & Related papers (2020-12-02T15:32:52Z) - Streaming Complexity of SVMs [110.63976030971106]
We study the space complexity of solving the bias-regularized SVM problem in the streaming model.
We show that for both problems, for dimensions of $frac1lambdaepsilon$, one can obtain streaming algorithms with spacely smaller than $frac1lambdaepsilon$.
arXiv Detail & Related papers (2020-07-07T17:10:00Z) - Agnostic Q-learning with Function Approximation in Deterministic
Systems: Tight Bounds on Approximation Error and Sample Complexity [94.37110094442136]
We study the problem of agnostic $Q$-learning with function approximation in deterministic systems.
We show that if $delta = Oleft(rho/sqrtdim_Eright)$, then one can find the optimal policy using $Oleft(dim_Eright)$.
arXiv Detail & Related papers (2020-02-17T18:41:49Z) - Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast
Algorithm [100.11971836788437]
We study the fixed-support Wasserstein barycenter problem (FS-WBP)
We develop a provably fast textitdeterministic variant of the celebrated iterative Bregman projection (IBP) algorithm, named textscFastIBP.
arXiv Detail & Related papers (2020-02-12T03:40:52Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.