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Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

• Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine
• ICML
• 2018

Model-free deep reinforcement learning (RL) algorithms have been demonstrated on a range of challenging decision making and control tasks. However, these methods typically suffer from two major… (More)

Composable Deep Reinforcement Learning for Robotic Manipulation

• Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine
• IEEE International Conference on Robotics and…
• 2018

Model-free deep reinforcement learning has been shown to exhibit good performance in domains ranging from video games to simulated robotic manipulation and locomotion. However, model-free methods are… (More)

Soft Actor-Critic Algorithms and Applications

• Tuomas Haarnoja, Aurick Zhou, +8 authors Sergey Levine
• ArXiv
• 2018

Model-free deep reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision making and control tasks. However, these methods typically suffer… (More)

Learning to Walk via Deep Reinforcement Learning

• Tuomas Haarnoja, Aurick Zhou, Sehoon Ha, Jie Tan, George Tucker, Sergey Levine
• ArXiv
• 2018

Deep reinforcement learning suggests the promise of fully automated learning of robotic control policies that directly map sensory inputs to low-level actions. However, applying deep reinforcement… (More)

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