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Push Recovery Strategies through Deep Reinforcement Learning
Research article (2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE), 2020) · cited 10× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Push Recovery Strategies through Deep Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/push-recovery-strategies-through-deep-reinforcement-learning
MLA“Push Recovery Strategies through Deep Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/push-recovery-strategies-through-deep-reinforcement-learning.
BibTeX@misc{4ortxyz_push-recovery-strategies-through-deep-reinforcement-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Push Recovery Strategies through Deep Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/push-recovery-strategies-through-deep-reinforcement-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Push Recovery Strategies through Deep Reinforcement Learning — https://4ort.xyz/entity/push-recovery-strategies-through-deep-reinforcement-learning (retrieved 2026-05-24)