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Peter Bohm
Peter Bohm
PhD Student at the University of Queensland
Verified email at uq.edu.au
Title
Cited by
Cited by
Year
Non-blocking asynchronous training for reinforcement learning in real-world environments
P Böhm, P Pounds, AC Chapman
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
32022
Feature extraction for effective and efficient deep reinforcement learning on real robotic platforms
P Böhm, P Pounds, AC Chapman
2023 IEEE International Conference on Robotics and Automation (ICRA), 7126-7132, 2023
12023
Training Directional Locomotion for Quadrupedal Low-Cost Robotic Systems via Deep Reinforcement Learning
P Böhm, A Chapman, P Pounds
Australasian Conference on Robotics and Automation (ACRA 2022), 2022
2022
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments
P Böhm, P Pounds, AC Chapman
Australasian Conference on Robotics and Automation (ACRA 2022), 2022
2022
A parallelized & asynchronous forward simulation framework to inform multi-robot UAV coordination via Akka streams
P Böhm, SPN Singh
Australasian Conference on Robotics and Automation, ACRA 2019, 2019
2019
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Articles 1–5