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Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications
Research article (IEEE Robotics and Automation Letters, 2023) · cited 27× · AI/ML
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications
Summary
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications is a scholarly article[1].
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Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications. Retrieved May 24, 2026, from https://4ort.xyz/entity/overcoming-exploration-deep-reinforcement-learning-for-continuous-control-in-cluttered-environments-from-temporal-logic-
MLA“Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/overcoming-exploration-deep-reinforcement-learning-for-continuous-control-in-cluttered-environments-from-temporal-logic-.
BibTeX@misc{4ortxyz_overcoming-exploration-deep-reinforcement-learning-for-continuous-control-in-cluttered-environments-from-temporal-logic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications}}, year = {2026}, url = {https://4ort.xyz/entity/overcoming-exploration-deep-reinforcement-learning-for-continuous-control-in-cluttered-environments-from-temporal-logic-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications — https://4ort.xyz/entity/overcoming-exploration-deep-reinforcement-learning-for-continuous-control-in-cluttered-environments-from-temporal-logic- (retrieved 2026-05-24)
