Results 11 to 20 of about 9,252,589 (289)
Probabilistic Guarantees for Safe Deep Reinforcement Learning [PDF]
, 2020 Deep reinforcement learning has been successfully applied to many control tasks, but the application of such agents in safety-critical scenarios has been limited due to safety concerns. Rigorous testing of these controllers is challenging, particularly when they operate in probabilistic environments due to, for example, hardware faults or noisy sensors.
Edoardo Bacci, David Parker 0001
core +9 more sources
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 We propose a novel benchmark environment for Safe Reinforcement Learning focusing on aquatic navigation. Aquatic navigation is an extremely challenging task due to the non-stationary environment and the uncertainties of the robotic platform, hence it is crucial to consider the safety aspect of the problem, by analyzing the behavior of the trained ...
Marchesini, Enrico +2 more
openaire +5 more sources
Job-Scheduling-Deep-Reinforcement-Learning
, 2023 A novel approach to Job Scheduling applying Deep Reinforcement Learning and Neural Network Architectures of Natural Language ProcessingIf you use this software, please cite it as ...
de Oliveira Hitzges, Diego
core +2 more sources
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving [PDF]
CoRR, 2019 Machine learning can provide efficient solutions to the complex problems encountered in autonomous driving, but ensuring their safety remains a challenge. A number of authors have attempted to address this issue, but there are few publicly-available tools to adequately explore the trade-offs between functionality, scalability, and safety.
Jaeyoung Lee 0003 +4 more
openaire +4 more sources
A survey on deep reinforcement learning for audio‑based applications [PDF]
, 2023 Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence (AI) by endowing autonomous systems with high levels of understanding of the real world.
Ali, Hafiz Shehbaz +5 more
core +1 more source
Safe Deep Reinforcement Learning by Verifying Task-Level Properties
International Joint Conference on Autonomous Agents and Multiagent Systems, 2023 Cost functions are commonly employed in Safe Deep Reinforcement Learning (DRL). However, the cost is typically encoded as an indicator function due to the difficulty of quantifying the risk of policy decisions in the state space. Such an encoding requires the agent to visit numerous unsafe states to learn a cost-value function to drive the learning ...
Enrico Marchesini +3 more
openaire +4 more sources
Autonomous Intersection Management by Using Reinforcement Learning
Algorithms, 2022 Developing a safer and more effective intersection-control system is essential given the trends of rising populations and vehicle numbers. Additionally, as vehicle communication and self-driving technologies evolve, we may create a more intelligent ...
P. Karthikeyan +2 more
doaj +1 more source
Steiner tree: a deep reinforcement learning approach
, 2021 Tong, GuangmoThe Steiner tree problem is a classical combinatorial optimization problem that targets interconnecting a set of points by a network whose total length is the shortest, where the network consists of the original points and the newly added ...
Wang, Siqi
core +1 more source
Applied Sciences, 2023 Despite receiving much attention from researchers in the field of naval architecture and marine engineering since the early stages of modern shipbuilding, the berthing phase is still one of the biggest challenges in ship maneuvering due to the potential ...
Anh Khoa Vo +2 more
doaj +1 more source
Reinforcement learning in populations of spiking neurons [PDF]
, 2008 Population coding is widely regarded as a key mechanism for achieving reliable behavioral responses in the face of neuronal variability. But in standard reinforcement learning a flip-side becomes apparent.
Urbanczik, R +3 more
core +1 more source