Hierarchical Reinforcement Learning: A Survey and Open Research Challenges Por Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré

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A Robust Approach for Continuous Interactive Actor-Critic Algorithms Por Cristian C. Millan-Arias, Bruno J. T. Fernandes, Francisco Cruz, Richard Dazeley, Sergio Fernandes

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Applications of Multi-Agent Deep Reinforcement Learning: Models and Algorithms Por Abdikarim Mohamed Ibrahim, Kok-Lim Alvin Yau, Yung-Wey Chong, Celimuge Wu

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Importance-Weighted Variational Inference Model Estimation for Offline Bayesian Model-Based Reinforcement Learning Por Toru Hishinuma, Kei Senda

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Sequential and Correlated Image Hash Code Generation with Deep Reinforcement Learning Por Can Yüzkollar

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Double Broad Reinforcement Learning Based on Hindsight Experience Replay for Collision Avoidance of Unmanned Surface Vehicles Por Jiabao Yu, Jiawei Chen, Ying Chen, Zhiguo Zhou, Junwei Duan

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Reinforcement Learning : An Introduction / Por Sutton, Richard S., author 179941, Barto, Andrew G., author.

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Towards Feature Selection In Actor-Critic Algorithms Por Rohanimanesh, Khashayar, Roy, Nicholas, Tedrake, Russ

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Towards robust reinforcement learning Por Paul, S

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Temporal abstraction and generalisation in reinforcement learning Por Smith, M

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Policy gradient methods for linear quadratic problems Por Yang, H

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Bayesian and variational inference for reinforcement learning Por Fellows, M

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Exploration and value function factorisation in single and multi-agent reinforcement learning Por Rashid, T

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Understanding representation learning for deep reinforcement learning Por Le Lan, C

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Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments Por Hung Son Nguyen, Francisco Cruz, Richard Dazeley

Assuntos: “...reinforcement learning...”
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Entropy-Guided Distributional Reinforcement Learning with Controlling Uncertainty in Robotic Tasks Por Hyunjin Cho, Hyunseok Kim

Assuntos: “...distributional reinforcement learning...”
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Hierarchical Episodic Control Por Rong Zhou, Zhisheng Zhang, Yuan Wang

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Exploring the Preference for Discrete over Continuous Reinforcement Learning in Energy Storage Arbitrage Por Jaeik Jeong, Tai-Yeon Ku, Wan-Ki Park

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A Systematic Study on Reinforcement Learning Based Applications Por Keerthana Sivamayil, Elakkiya Rajasekar, Belqasem Aljafari, Srete Nikolovski, Subramaniyaswamy Vairavasundaram, Indragandhi Vairavasundaram

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Exploring the limits of hierarchical world models in reinforcement learning Por Robin Schiewer, Anand Subramoney, Laurenz Wiskott

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