pfeinsper / drone-swarm-search-algorithms Goto Github PK

• Mudança nas infos -> chaves do dict são agents e found aninhados agora -> exigência interface petting zoo
• Retorno de obs e infos no reset

Ver tutorials site PettingZoo

We will test whether RL outperforms a greedy strategy in scenarios where the PIW moves out of the region of highest probability. This will be evaluated using a grid environment (20x20) with four drones controlled by both centralized and independent Deep Q-Network (DQN) algorithms against a greedy approach. The performance of each method will be assessed under conditions of small dispersion with a probability of detection (POD) set to 1.

• Testar uma arquitetura de rede convolucional

Experimentos com o ambiente novo:

• MLP vs CNN

Ver tutorials site PettingZoo

This hypothesis examines if agents trained with independent neural networks converge faster than when trained with shared networks. Using a similar grid environment, we will deploy four drones to find a PIW under conditions of both small and large dispersion, analyzing the rate of convergence in these scenarios.

https://pettingzoo.farama.org/tutorials/cleanrl/