Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
d Abstract) Piyoosh Mukhija IIIT Hyderabad Rahul Sawhney IIIT Hyderabad K Madhava Krishna IIIT Hyderabad We present an algorithm for multi robotic exploration of an unknown terrai...
Piyoosh Mukhija, Rahul Sawhney, K. Madhava Krishna
Although a remarkably high degree of automation has been reached in production and intra-logistics nowadays, human labor is still used for transportation using handcarts and forkl...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...