Routing data from sensor nodes to designated mobile data sinks is a common and challenging task in a wide spectrum of Wireless Sensor Network (WSN) applications and thus becoming an active research area. In this paper, a reinforcement-learning based adaptive routing scheme implemented through Adaptive Critic Design (ACD) is proposed. In this scheme, sensor nodes discover and improve the routes at the time of packets transmission. Decision is made dynamically at each sensor node based on various constraints and environmental conditions considered and multi-objective optimization performed. Extensive simulations using synthetic network topologies and sink traces are conducted to test the...