The research paper discusses the potential of causal knowledge in improving the interpretability of reinforcement learning (RL) agents’ decision-making process. The authors propose a framework that alternates between using interventions…
Continue readingThis academic article introduces the Bayesian Learning for Contextual Restless Multi-Armed Bandits (BCoR), which is an online reinforcement learning method. It’s particularly useful for public health scenarios where there’s a…
Continue readingThe research paper presents a new framework called Tactile Adaptation from Visual Incentives (TA VI) that enhances tactile dexterity in robots using vision-based rewards. This is achieved by first learning…
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