Research and Development

Artificial Ethology


The Foundations of Ethology by Konrad Lorenz, Ethology: The Mechanisms and Evolution of Behavior by James L. Gould, Animal Motivation and Cognition by Frederick Toates, Animal Cognition by Kristin Andrews and Ljiljana Radenovic, Animal Behavior by Stephen J. Crowley and Colin Allen, Motivation of Human and Animal Behavior: An Ethological View by Konrad Lorenz and Paul Leyhausen, Ethological Concepts and Human Development by Wagner H. Bridger, On Aims and Methods of Cognitive Ethology by Dale Jamieson and Marc Bekoff and Cognitive Ethology: A New Approach for Studying Human Cognition by Alan Kingstone, Daniel Smilek and John D. Eastwood.

Reinforcement Learning

Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto, A Comprehensive Survey of Multiagent Reinforcement Learning by Lucian Buşoniu, Robert Babuška and Bart De Schutter, Multi-agent Reinforcement Learning: A Selective Overview of Theories and Algorithms by Kaiqing Zhang, Zhuoran Yang and Tamer Başar and Multiobjective Reinforcement Learning: A Comprehensive Overview by Chunming Liu, Xin Xu and Dewen Hu.


Modularity Benefits Reinforcement Learning Agents with Competing Homeostatic Drives by Zack Dulberg, Rachit Dubey, Isabel M. Berwian and Jonathan D. Cohen and Having Multiple Selves Helps Learning Agents Explore and Adapt in Complex Changing Worlds by Zack Dulberg, Rachit Dubey, Isabel M. Berwian and Jonathan D. Cohen.


Cooperative Multi-agent Learning: The State of the Art by Liviu Panait and Sean Luke, Multi-agent Architectures as Organizational Structures by Manuel Kolp, Paolo Giorgini and John Mylopoulos, Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems by Spiros Kapetanakis and Daniel Kudenko, Learning of Coordination: Exploiting Sparse Interactions in Multiagent Systems by Francisco S. Melo and Manuela Veloso, Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems by Chao Yu, Minjie Zhang, Fenghui Ren and Guozhen Tan, Consensus and Cooperation in Networked Multi-agent Systems by Reza Olfati-Saber, J. Alex Fax and Richard M. Murray and Consensus in Multi-agent Systems: A Review by Abdollah Amirkhani and Amir H. Barshooi.


Decision Theory, Reinforcement Learning, and the Brain by Peter Dayan and Nathaniel D. Daw, Multiple Systems in Decision Making: A Neurocomputational Perspective by Michael J. Frank, Michael X. Cohen and Alan G. Sanfey, Decision Making in Multi-objective Multi-agent Systems: A Utility-based Perspective by Roxana Rădulescu and MO-MIX: Multi-objective Multi-agent Cooperative Decision-making with Deep Reinforcement Learning by Tianmeng Hu, Biao Luo, Chunhua Yang and Tingwen Huang.


Artificial Intelligence, Values, and Alignment by Iason Gabriel, The Alignment Problem: Machine Learning and Human Values by Brian Christian, Reinforcement Learning as a Framework for Ethical Decision Making by David Abel, James MacGlashan and Michael L. Littman, Guaranteeing the Learning of Ethical Behaviour through Multi-objective Reinforcement Learning by Manel Rodriguez-Soto, Maite Lopez-Sanchez and Juan A. Rodríguez-Aguilar, Instilling Moral Value Alignment by Means of Multi-objective Reinforcement Learning by Manel Rodriguez-Soto, Marc Serramia, Maite Lopez-Sanchez and Juan Antonio Rodriguez-Aguilar and Multi-objective Reinforcement Learning for Guaranteeing Alignment with Multiple Values by Manel Rodriguez-Soto, Roxana Rădulescu, Juan A. Rodriguez-Aguilar, Maite Lopez-Sanchez and Ann Nowé.