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Visualizing MuZero Models
MuZero, a model-based reinforcement learning algorithm that uses a value...
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Model-based Reinforcement Learning: A Survey
Sequential decision making, commonly formalized as Markov Decision Proce...
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A Framework for Reinforcement Learning and Planning
Sequential decision making, commonly formalized as Markov Decision Proce...
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The Second Type of Uncertainty in Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) efficiently balances exploration and expl...
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Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
Planning and reinforcement learning are two key approaches to sequential...
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The Potential of the Return Distribution for Exploration in RL
This paper studies the potential of the return distribution for explorat...
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A0C: Alpha Zero in Continuous Action Space
A core novelty of Alpha Zero is the interleaving of tree search and deep...
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Monte Carlo Tree Search for Asymmetric Trees
We present an extension of Monte Carlo Tree Search (MCTS) that strongly ...
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Efficient exploration with Double Uncertain Value Networks
This paper studies directed exploration for reinforcement learning agent...
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Emotion in Reinforcement Learning Agents and Robots: A Survey
This article provides the first survey of computational models of emotio...
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Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
In this paper we study how to learn stochastic, multimodal transition dy...
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