Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents such that every agent reaches its goal and the agents do not collide. Most prior work on MAPF was on grids, assumed agents' actions have uniform duration, and that time is discretized into timesteps. We propo...
Multi-Agent Pathfinding with Continuous TimeThis article has no associated abstract. ( fix it )Anton AndreychukKonstantin YakovlevPavel SurynekDor AtzmonRoni SternAndreychuk, A., Yakovlev, K., Atzmon, D., Stern, R.: Multi-agent pathfinding (MAPF) with continuous time. CoRR abs/1901.05506 (...
Andreychuk, A., Yakovlev, K., Atzmon, D., Stern, R.: Multi-agent pathfinding with continuous time. In: International Joint Conference on Artificial Intelligence (IJCAI), pp. 39–45 (2019) Google Scholar Atzmon, D., Stern, R., Felner, A., Wagner, G., Barták, R., Zhou, N.F....
The problem has ex-tended its application from grid graphs to real-world situations.The Continuous-CBS [ 1 ] incorporate graphs with continuous traveltime, while the Large Agent MAPF [ 11 ] considers agents with aphysical shape. Cohen et al. [ 5 ] extended the problem to the taskof ...
Lillicrap T, Hunt JJ, Pritzel A, Heess N, Erez T, Tassa Y, Silver D, Wierstra D (2016) Continuous control with deep reinforcement learning. In: ICLR (Poster) Lin K, Zhao R, Zhe X, Zhou J (2018) Efficient large-scale fleet management via multi-agent deep reinforcement learning. In...
private void MoveToBasket() { if (Path.Count == 0) { Path = new LinkedList<PathNode>(PathFinding(Position, ScoringBasket)); Path.RemoveFirst(); } // Already have a strategy if (Path.Count > 0) { var nextMove = Path.First(); Path.RemoveFirst(); // Check if m...
However, COMA can be easily extended to continuous actions spaces by estimating the expectation in (4) with Monte Carlo samples or using functional forms that render it analytical, e.g., Gaussian policies and critic. The following lemma establishes the convergence of COMA to a locally optimal ...
Multi-agent pathfinding (MAPF) is the problem of finding k non-colliding paths connecting k given initial positions with k given goal positions on a given ... RN Gomez,C Hernandez,JA Baier - 《IEEE Access》 被引量: 0发表: 2021年 Multi-agent pathfinding with continuous time Multi-Agent Pa...
which provides a simulation platform for humanoid robot researchers to study robot movements. At the same time, it is also the official platform of RoboCup 3D events. Under the rules of soccer robot competition, it is helpful for the research of multi-robots, especially multi-humanoid robots’ ...
In the paper, we introduce continuous time Multi-Agent Path Finding (MAPF) for UTM system with pre-flight Conflict Detection and Resolution (CDR), and propose a new version of MAPF named Multi-Drone Delivery Path Finding (MDDPF), where agents move continuously in the metric space with ...