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Bootstrap learning for object discovery., and . IROS, page 742-747. IEEE, (2004)The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents., , , , , , , , , and . CoRR, (2022)The Barbados 2018 List of Open Issues in Continual Learning., , , , , , , , , and . CoRR, (2018)Deep Reinforcement Learning and the Deadly Triad., , , , , and . CoRR, (2018)Vector-based navigation using grid-like representations in artificial agents., , , , , , , , , and 16 other author(s). Nat., 557 (7705): 429-433 (2018)Multi-timescale nexting in a reinforcement learning robot., , and . Adapt. Behav., 22 (2): 146-160 (2014)Two Perspectives on Learning Rich Representations from Robot Experience.. AAAI Workshop: Learning Rich Representations from Low-Level Sensors, volume WS-13-12 of AAAI Technical Report, AAAI, (2013)Towards model-free RL algorithms that scale well with unstructured data., and . CoRR, (2023)Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017., , , , , , , , , and 9 other author(s). CoRR, (2017)Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study., , , , , , , , , and . CoRR, (2021)