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Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing
Research article (Machine Learning and Knowledge Extraction, 2021) · cited 69× · AI/ML
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing
Summary
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing is a scholarly article[1].
Key Facts
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing's Fundamentals and Applications in Games, Robotics and Natural Language Processing — instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/recent-advances-in-deep-reinforcement-learning-applications-for-solving-partially-observable-markov-decision-processes-p
MLA“Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recent-advances-in-deep-reinforcement-learning-applications-for-solving-partially-observable-markov-decision-processes-p.
BibTeX@misc{4ortxyz_recent-advances-in-deep-reinforcement-learning-applications-for-solving-partially-observable-markov-decision-processes-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing}}, year = {2026}, url = {https://4ort.xyz/entity/recent-advances-in-deep-reinforcement-learning-applications-for-solving-partially-observable-markov-decision-processes-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing — https://4ort.xyz/entity/recent-advances-in-deep-reinforcement-learning-applications-for-solving-partially-observable-markov-decision-processes-p (retrieved 2026-05-24)