Smarla: A safety monitoring approach for deep reinforcement learning agents
Deep Reinforcement Learning (DRL) has made significant advancements in various fields,
such as autonomous driving, healthcare, and robotics, by enabling agents to learn optimal …
such as autonomous driving, healthcare, and robotics, by enabling agents to learn optimal …
Flare: Achieving masterful and adaptive robot policies with large-scale reinforcement learning fine-tuning
J Hu, R Hendrix, A Farhadi, A Kembhavi… - ar** with Scarce Demonstrations
Offline-to-online reinforcement learning (O2O RL) aims to obtain a continually improving
policy as it interacts with the environment, while ensuring the initial policy behaviour is …
policy as it interacts with the environment, while ensuring the initial policy behaviour is …