The efficiency of reinforcement learning algorithms depends critically on a few metaparameters that modulates the learning updates and the trade-off between exploration and exploitation. The adaptation of the meta-parameters is an open question in reinforcement learning, which arguably has become more of an issue recently with the success of deep reinforcement learning in high-dimensional state...

The PowerTAC competition has gained attention for being a realistic and powerful simulation platform used for research on retail energy markets, in part because of the growing number of energy markets worldwide. Agents in this complex environment typically use multiple strategies, changing from one to another, posing a problem for current learning algorithms. This paper introduces DriftER, an a...

Between about 1850 and 1940 the Dutch Protestant missionary movement reached its ascendancy set out to establish kingdom of God in overseas territories. In doing so, mission became inextricably linked with imperialism. This article investigates this connection through lens cartography. Missionary maps world general colonies particular were produced distributed schools churches inform a audience...