Re-envisioning the Chinese Cityscape: Tabula Rasa and Palimpsest

Tabula Rasa: A Case Study in Evolutionary Curation

This paper describes a novel use of evolutionary techniques to curate a main stream art show, Tabula Rasa. This allowed an openended approach to curation that was entirely in keeping with the artistic motivations behind the project. We detail a major difficulty with this approach that will be faced by any future automatic curation systems.

Reinforcement Learning of Intelligent Characters in Fighting Action Games

Abstract. In this paper, we investigate reinforcement learning (RL) of intelligent characters, based on neural network technology, for fighting action games. RL can be either on-policy or off-policy. We apply both schemes to tabula rasa learning and adaptation. The experimental results show that (1) in tabula rasa leaning, off-policy RL outperforms on-policy RL, but (2) in adaptation, on-policy...

Incorporating Prior Knowledge and Previously Learned Information into Reinforcement Learning Agents

Reinforcement learning has received much attention in the past decade. The primary thrust of this research has focused on tabula rasa learning methods. That is, the learning agent is initially unaware of its environment and must learn or re-learn everything. We feel that this is neither realistic nor effective. While the agent may start out with little or no knowledge of its environment, it mus...

Repeated bargaining

Two symmetric players bargain over an infinite stream of pies. There is one exogenously given pie in every period, whose size is stochastic, and the pies are iid. Play can be in a tabula rasa mode or dispute mode. When it is in the former, Nature selects a proposer and a responder with equal probabilities, and a proposal is made by the proposer regarding the division of the present pie. If ther...

Entomopathogenic Nematodes (Nematoda: Rhabditida) in Slovenia: From Tabula Rasa to Implementation into Crop Production Systems