Browsing by Subject "Learning from Demonstrations"
Now showing items 1-2 of 2
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(2023-07-07)Reinforcement learning is a powerful approach for training intelligent agents to make decisions in complex environments. However, these algorithms often struggle when faced with challenging scenarios, such as sparse reward ...
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(2022-07-21)Deep Reinforcement Learning (DRL) algorithms are defined with fully continuous or discrete action spaces. These algorithms are widely used in autonomous driving due to their ability to cope with unseen environments. However, ...