Results 261 to 270 of about 6,522,305 (296)

Soar-RL: integrating reinforcement learning with Soar

Cognitive Systems Research, 2005
In this paper, we describe an architectural modification to Soar that gives a Soar agent the opportunity to learn statistical information about the past success of its actions and utilize this information when selecting an operator. This mechanism serves the same purpose as production utilities in ACT-R, but the implementation is more directly tied to ...
Shelley Nason, John E. Laird
openaire   +1 more source

RL-OPC: Mask Optimization With Deep Reinforcement Learning

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Mask optimization is a vital step in the VLSI manufacturing process in advanced technology nodes. As one of the most representative techniques, optical proximity correction (OPC) is widely applied to enhance printability. Since conventional OPC methods consume prohibitive computational overhead, recent research has applied machine learning techniques ...
Xiaoxiao Liang, Yikang Ouyang, Haoyu Yang, Bei Yu 0001, Yuzhe Ma   +4 more
openaire   +2 more sources

EDA-RL

Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009
By making use of probabilistic models, (EDAs) can outperform conventional evolutionary computations. In this paper, EDAs are extended to solve reinforcement learning problems which arise naturally in a framework for autonomous agents. In reinforcement learning problems, we have to find out better policies of agents such that the rewards for agents in ...
openaire   +1 more source

Hierarchical Reinforcement Learning

ACM Computing Surveys, 2022
Ah Hwee Tan
exaly  

Reinforcement Learning (RL)

2022
openaire   +1 more source

Transfer Learning in Deep Reinforcement Learning: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Anil Jain, Zhuangdi Zhu, Kaixiang Lin
exaly  

Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE Transactions on Intelligent Transportation Systems, 2022
Patrick Mannion, Patrick Perez, Kiran Bangalore Ravi   +2 more
exaly  

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey

IEEE Communications Surveys and Tutorials, 2021
Yang Xiao, Nirwan Ansari
exaly  

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial

IEEE Communications Surveys and Tutorials, 2021
Ekram Hossain
exaly  

Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning

2022 International Conference on Robotics and Automation (ICRA), 2022
Johanna Hansen, Francois Robert Hogan, Dmitriy Rivkin, David Meger, Michael Jenkin, Gregory Dudek   +5 more
openaire   +2 more sources