To apply the framework to other robot navigation tasks like exploration or search and rescue, the objectives and reward functions would need to be tailored to the specific requirements of these tasks. For exploration tasks, the objectives could focus on maximizing coverage of the environment, discovering new areas, or minimizing uncertainty. The reward model would need to incentivize behaviors that lead to efficient exploration and discovery.
In the case of search and rescue missions, the objectives may involve locating and reaching targets, avoiding hazards, and coordinating with other agents or rescuers. The reward model would need to prioritize actions that lead to successful target localization, safe navigation in hazardous environments, and effective collaboration with other entities.
Furthermore, the framework could be extended to handle multi-agent scenarios in search and rescue missions, where coordination and communication between multiple robots are crucial. This would involve designing collaborative reward functions and policies that enable effective teamwork and task allocation among the agents.