[HTML][HTML] Machine learning meets advanced robotic manipulation
Automated industries lead to high quality production, lower manufacturing cost and better
utilization of human resources. Robotic manipulator arms have major role in the automation …
utilization of human resources. Robotic manipulator arms have major role in the automation …
Supervised policy update for deep reinforcement learning
We propose a new sample-efficient methodology, called Supervised Policy Update (SPU),
for deep reinforcement learning. Starting with data generated by the current policy, SPU …
for deep reinforcement learning. Starting with data generated by the current policy, SPU …
Deep reinforcement learning collision avoidance using policy gradient optimisation and Q-learning
SA Maged, BH Mikhail - International Journal of …, 2020 - inderscienceonline.com
Usage of trust region policy optimisation (TRPO) and proximal policy optimisation
(PPO)'children of policy gradient optimisation method'and deep Q-learning network (DQN) in …
(PPO)'children of policy gradient optimisation method'and deep Q-learning network (DQN) in …
Reward Shaping and Performance Analysis of Proximal Policy Optimization for Quadrotor Navigation in Environments of Varying Complexity
IC Fleisje - 2023 - ntnuopen.ntnu.no
Utviklingen av autonome luftfartøy som kan utføre raske og smidige manøvrer i komplekse
omgivelser har vært utfordrende. Tradisjonell kontroll er avhengig av flere moduler som …
omgivelser har vært utfordrende. Tradisjonell kontroll er avhengig av flere moduler som …
[图书][B] Robot Learning through Reinforcement Learning, Teleoperation and Scene Reconstruction
QH Vuong - 2022 - search.proquest.com
Designing agents that autonomously acquire skills to complete tasks in their environments
has been an ongoing research topic for decades. The complete realization of the vision …
has been an ongoing research topic for decades. The complete realization of the vision …
[PDF][PDF] Využití strojového učení pro optimalizaci útočných strategií
T Pavuk - is.muni.cz
Vzniknutím simulátora kybernetických útokov je však možné pre skúmať možnosti
implementácie prostredia, na ktorom možno testo vať optimalizácie súvislej postupnosti …
implementácie prostredia, na ktorom možno testo vať optimalizácie súvislej postupnosti …