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Probabilistic Inference in Reinforcement Learning Done Right
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Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
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Value-based Abstraction for Planning
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Reinforcement Learning from a Bayesian Perspective
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Integrated Planning and Reinforcement Learning for Compositional Domains
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The Data Pyramid for Generalist Agents
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Reinforcement Learning with Exogenous States and Rewards
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Investigating Latent State and Uncertainty Representations in Reinforcement Learning
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Probabilistic Planning through the Lens of Approximate Inference
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Human-AI Collaboration for Content Generation and Machine Autonomy
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