arXiv AI
Intrinsic Motivation in Reinforcement Learning: A Research Agenda for Adaptive Self-Organisation
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Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
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Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
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Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning
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Efficient Exploration Is Enough
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Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
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Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
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