Tor Lattimore
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Reinforcement Learning in Robotics, Optimization and Search Problems, Auction Theory and Applications
Most-Cited Works
- → Bandit Algorithms(2020)822 cited
- → PAC Bounds for Discounted MDPs(2012)153 cited
- Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning(2017)
- → Bounded Regret for Finite-Armed Structured Bandits(2014)82 cited
- Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities(2017)
- Refining the Confidence Level for Optimistic Bandit Strategies(2018)
- → On Thompson Sampling and Asymptotic Optimality(2017)59 cited
- → On Explore-Then-Commit Strategies(2016)59 cited
- → An Information-Theoretic Approach to Minimax Regret in Partial Monitoring(2019)58 cited