[HTML][HTML] Utilizing human feedback in autonomous driving: discrete vs. continuous
Deep reinforcement learning (Deep RL) algorithms are defined with fully continuous or
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
Utilizing Human Feedback in Autonomous Driving: Discrete vs. Continuous.
M Savari, Y Choe - Machines, 2022 - search.ebscohost.com
Deep reinforcement learning (Deep RL) algorithms are defined with fully continuous or
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
[PDF][PDF] Utilizing Human Feedback in Autonomous Driving: Discrete vs. Continuous. Machines 2022, 10, 609
M Savari, Y Choe - 2022 - pdfs.semanticscholar.org
Deep reinforcement learning (Deep RL) algorithms are defined with fully continuous or
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
Utilizing Human Feedback in Autonomous Driving: Discrete vs. Continuous
M Savari, Y Choe - Machines, 2022 - search.proquest.com
Deep reinforcement learning (Deep RL) algorithms are defined with fully continuous or
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …
discrete action spaces. Among DRL algorithms, soft actor–critic (SAC) is a powerful method …