Zhou, Aurick
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5 papers on CoChat
Most cited papers
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Soft actor-critic Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Haarnoja, T., Zhou, A., Abbeel, P., & Levine, S. (2018) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 5,594
- Verified
Soft Actor-Critic Algorithms and Applications
Haarnoja, T., Zhou, A., Hartikainen, K., Tucker, G., Ha, S., Tan, J., Kumar, V., Zhu, H., Gupta, A., Abbeel, P., et al. (2018) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 1,994
- Verified
Learning to Walk Via Deep Reinforcement Learning
Haarnoja, T., Ha, S., Zhou, A., Tan, J., Tucker, G., & Levine, S. (2019) · Robotics: Science and Systems XV
Reinforcement Learning in RoboticsRobotic Locomotion and Control
Cited by 430
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 69
- Verified
Learning to Walk via Deep Reinforcement Learning
Haarnoja, T., Ha, S., Zhou, A., Tan, J., Tucker, G., & Levine, S. (2018) · arXiv
Reinforcement Learning in RoboticsRobotic Locomotion and Control
Cited by 53
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