The Biology and Technology of Intelligent Autonomous Agents

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Continual Reinforcement Learning in 3D Non-stationary Environments (2019, background): “Despite the the obvious interest in applying CL to less supervised settings and the early, promising results in this context [33, 40], reinforcement learning tasks constitute a much more complex challenge where it is generally more difficult to disentangle the complexity introduced by distributional”
Multi-agent deep reinforcement learning: a survey (2021, background): “Associating rewards to agents is known as the credit assignment problem (Chang et al. 2004; Weiß 1995; Wolpert and Tumer 1999).”
Grounding adaptive language games in robotic agents (2006, background): “Although much progress has been made recently on the synthesis and acquisition of sensori-motor behavior [9] [13], the bottom-up approach still needs to be shown to be effective for cognitive capabilities.”
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge (2016, background): “The ant colony moves to a speciﬁc destination and releases pheromones based on a set of rules (Chialvo and Millonas (1995)).”