| Tighter problem-dependent regret bounds in reinforcement learning without domain knowledge using value function bounds A Zanette, E Brunskill International Conference on Machine Learning, 2019 | 133 | 2019 |
| Learning Near Optimal Policies with Low Inherent Bellman Error A Zanette, A Lazaric, M Kochenderfer, E Brunskill International Conference on Machine Learning, 2020 | 56 | 2020 |
| Frequentist regret bounds for randomized least-squares value iteration A Zanette, D Brandfonbrener, E Brunskill, M Pirotta, A Lazaric International Conference on Artificial Intelligence and Statistics, 1954-1964, 2020 | 45 | 2020 |
| Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration A Zanette, A Lazaric, MJ Kochenderfer, E Brunskill Advances in Neural Information Processing Systems, 2020 | 18 | 2020 |
| Limiting extrapolation in linear approximate value iteration A Zanette, A Lazaric, M Kochenderfer, E Brunskill | 17 | 2019 |
| Almost horizon-free structure-aware best policy identification with a generative model A Zanette, M Kochenderfer, E Brunskill | 17 | 2019 |
| Robust super-level set estimation using gaussian processes A Zanette, J Zhang, MJ Kochenderfer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 16 | 2018 |
| Exponential lower bounds for batch reinforcement learning: Batch rl can be exponentially harder than online rl A Zanette International Conference on Machine Learning, 12287-12297, 2021 | 14 | 2021 |
| Cautiously optimistic policy optimization and exploration with linear function approximation A Zanette, CA Cheng, A Agarwal arXiv preprint arXiv:2103.12923, 2021 | 8 | 2021 |
| Problem dependent reinforcement learning bounds which can identify bandit structure in mdps A Zanette, E Brunskill International Conference on Machine Learning, 5747-5755, 2018 | 8 | 2018 |
| Information directed reinforcement learning A Zanette, R Sarkar Technical report, Technical report, 2017 | 4 | 2017 |
| Enriching the finite element method with meshfree particles in structural mechanics A Zanette, M Ferronato, C Janna International Journal for Numerical Methods in Engineering 110 (7), 675-700, 2017 | 2 | 2017 |
| Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning A Zanette, MJ Wainwright, E Brunskill arXiv preprint arXiv:2108.08812, 2021 | | 2021 |
| Design of Experiments for Stochastic Contextual Linear Bandits A Zanette, K Dong, J Lee, E Brunskill arXiv preprint arXiv:2107.09912, 2021 | | 2021 |
| REINFORCEMENT LEARNING: WHEN CAN WE DO SAMPLE EFFICIENT EXPLORATION? A Zanette STANFORD UNIVERSITY, 2021 | | 2021 |
| Enriching the Finite Element Method with meshfree techniques in structural mechanics A Zanette, M Ferronato, C Janna PAMM 15 (1), 691-692, 2015 | | 2015 |
| Robust Super-Level Set Estimation using Gaussian Processes Download PDF Open Website A Zanette, J Zhang, M Kochenderfer | | |
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
