Abstract: A system and method for facilitating autonomous target selection through neural networks is disclosed. The method includes receiving a request from a user to select a target from one or more targets for an agent to perform one or more activities and receiving one or more input parameters. The method further includes generating an expected reward value for each of the one or more targets and determining a desired target among the one or more targets based on the generated expected reward or empirical estimation. Further, the method includes generating one or more actions to be executed by the agent corresponding to the desired by using a trained policy network based ANN model and outputting the determined one or more actions to at least one of: the agent and one or more user devices associated with the user for performing the one or more activities.

Abstract: A system and method for facilitating autonomous satellite level communications is disclosed. The method includes receiving a request from a user to transmit satellite information captured by a source satellite from the source satellite to a destination node via one or more intermediate satellites. The method further includes receiving one or more input parameters and determining a plurality of states corresponding to the source satellite and the one or more intermediate satellites. Further, the method includes generating a plurality of actions and an expected reward value for each of the plurality of actions. Furthermore, the method includes determining an optimal action among the plurality of actions and outputting the optimal action to the source satellite and the one or more intermediate satellites, one or more user devices or a combination thereof for transmission of the satellite information from the source satellite to the destination node.