George Tucker
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Gaussian Processes and Bayesian Inference, Topic Modeling, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Soft Actor-Critic Algorithms and Applications(2018)1,935 cited
- → Efficient Bayesian mixed-model analysis increases association power in large cohorts(2015)1,767 cited
- → Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems(2020)791 cited
- → Gemini: A Family of Highly Capable Multimodal Models(2023)790 cited
- → Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders(2015)629 cited
- → Conservative Q-Learning for Offline Reinforcement Learning(2020)535 cited
- → Learning to Walk Via Deep Reinforcement Learning(2019)432 cited
- → Model-Based Reinforcement Learning for Atari(2019)420 cited
- → A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways(2014)415 cited
- → Regularizing Neural Networks by Penalizing Confident Output\n Distributions(2017)403 cited