| 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 | 5 | 2022 |
| 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 | 3 | 2023 |
| 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 |
Archie ChapmanAssociate Professor, Electrical Engineering and Computer Science, University of QueenslandVerified email at uq.edu.au
