Deere & Company

Tata Consultancy Services Limited

Prashant Kumar

Mahesh Somarowthu

Vinay Kulkarni

Souvik Barat

Hardik Meisheri

Harshad Khadilkar

Vinita Baniwal

Pradeep Lokare

Wilhelmus Peeters

Monika Gajrani

Manu Gupta

A method and arrangement for operating an agricultural distribution vehicle with a tank for a liquid to be applied, a boom with spray nozzles attached thereto for distributing the liquid on a surface and a chassis supported on the ground which is movable in a forward direction over the surface. The method includes refilling the contents of the tank via an aerial vehicle.

Agricultural distribution vehicle and method of use thereof

Generally, in complex systems such as business organizations and supply chain networks, decisions making and control are challenging due to dynamic environment thereof. The embodiments herein provide method and system that uses reinforcement learning (RL) for exploring policies and deciding control actions, and actor-based modelling and simulation for performing accurate long-term rollouts of the policies, in order to optimize operation of the complex systems. In an embodiment, a method for actor based simulation of complex system includes modeling, actors of the complex system using an actor abstraction, where actors includes RL agents embodied in each subsystem of the complex system, and executes micro-level interactions amongst the subsystems. An emergent macro-behavior of the complex system is simulated by the using the RL agents based on the micro-level interactions. Optimal decisions pertaining to actions of the RL agents are learnt based on the emergent macro-behavior of the complex subsystem.

System and method for actor based simulation of complex system using reinforcement learning

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Pune, India

Prashant Kumar