An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments

Research article (Advanced Robotics, 2022) · cited 10× · AI/ML
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An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments

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An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-open-source-software-framework-for-reinforcement-learning-based-control-of-tracked-robots-in-simulated-indoor-environ
MLA “An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-open-source-software-framework-for-reinforcement-learning-based-control-of-tracked-robots-in-simulated-indoor-environ.
BibTeX @misc{4ortxyz_an-open-source-software-framework-for-reinforcement-learning-based-control-of-tracked-robots-in-simulated-indoor-environ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments}}, year = {2026}, url = {https://4ort.xyz/entity/an-open-source-software-framework-for-reinforcement-learning-based-control-of-tracked-robots-in-simulated-indoor-environ}, note = {Accessed: 2026-05-24}}
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