Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Effective lazy training method for deep q-network in obstacle avoidance and path planning. Retrieved May 24, 2026, from https://4ort.xyz/entity/effective-lazy-training-method-for-deep-q-network-in-obstacle-avoidance-and-path-planning
MLA“Effective lazy training method for deep q-network in obstacle avoidance and path planning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effective-lazy-training-method-for-deep-q-network-in-obstacle-avoidance-and-path-planning.
BibTeX@misc{4ortxyz_effective-lazy-training-method-for-deep-q-network-in-obstacle-avoidance-and-path-planning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effective lazy training method for deep q-network in obstacle avoidance and path planning}}, year = {2026}, url = {https://4ort.xyz/entity/effective-lazy-training-method-for-deep-q-network-in-obstacle-avoidance-and-path-planning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effective lazy training method for deep q-network in obstacle avoidance and path planning — https://4ort.xyz/entity/effective-lazy-training-method-for-deep-q-network-in-obstacle-avoidance-and-path-planning (retrieved 2026-05-24)
