Philip S. Thomas

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2009–2024

Best venue rank

Where they publish

Papers

36 indexed papers, newest first.

Year	Venue	Title	Authors
2024	AAAI	From Past to Future: Rethinking Eligibility Traces.	Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
2024	ICML	Position: Benchmarking is Limited in Reinforcement Learning Research.	Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas
2023	AISTATS	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments.	Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	ICSE	Seldonian Toolkit: Building Software with Safe and Fair Machine Learning.	Austin Hoag, James E. Kostas, Bruno Castro da Silva, Philip S. Thomas, Yuriy Brun
2022	ICLR	Fairness Guarantees under Demographic Shift.	Stephen Giguere, Blossom Metevier, Bruno Castro da Silva, Yuriy Brun, Philip S. Thomas, Scott Niekum
2022	ITP	Mechanizing Soundness of Off-Policy Evaluation.	Jared Yeager, J. Eliot B. Moss, Michael Norrish, Philip S. Thomas
2021	AAAI	High-Confidence Off-Policy (or Counterfactual) Variance Estimation.	Yash Chandak, Shiv Shankar, Philip S. Thomas
2021	ICML	High Confidence Generalization for Reinforcement Learning.	James E. Kostas, Yash Chandak, Scott M. Jordan, Georgios Theocharous, Philip S. Thomas
2021	ICML	Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods.	Chris Nota, Philip S. Thomas, Bruno C. da Silva
2021	ICML	Towards Practical Mean Bounds for Small Samples.	My Phan, Philip S. Thomas, Erik G. Learned-Miller
2021	RecSys	Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework.	Ali Montazeralghaem, James Allan, Philip S. Thomas
2020	AAAI	Reinforcement Learning When All Actions Are Not Always Available.	Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas
2020	AAAI	Lifelong Learning with a Changing Action Set.	Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas
2020	ICML	Optimizing for the Future in Non-Stationary MDPs.	Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	ICML	Evaluating the Performance of Reinforcement Learning Algorithms.	Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas
2020	ICML	Asynchronous Coagent Networks.	James E. Kostas, Chris Nota, Philip S. Thomas
2019	AAAI	Natural Option Critic.	Saket Tiwari, Philip S. Thomas
2019	ICML	Learning Action Representations for Reinforcement Learning.	Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
2019	ICML	Concentration Inequalities for Conditional Value at Risk.	Philip S. Thomas, Erik G. Learned-Miller
2018	ICML	Decoupling Gradient-Like Learning Rules from Representations.	Philip S. Thomas, Christoph Dann, Emma Brunskill
2018	IJCAI	Importance Sampling for Fair Policy Selection.	Shayan Doroudi, Philip S. Thomas, Emma Brunskill
2017	AAAI	Importance Sampling with Unequal Support.	Philip S. Thomas, Emma Brunskill
2017	AAAI	Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing.	Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill
2017	ICML	Data-Efficient Policy Evaluation Through Behavior Policy Search.	Josiah P. Hanna, Philip S. Thomas, Peter Stone, Scott Niekum
2017	UAI	Importance Sampling for Fair Policy Selection.	Shayan Doroudi, Philip S. Thomas, Emma Brunskill
2016	AAAI	Increasing the Action Gap: New Operators for Reinforcement Learning.	Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rmi Munos
2016	ICML	Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning.	Philip S. Thomas, Emma Brunskill
2016	ICML	Energetic Natural Gradient Descent.	Philip S. Thomas, Bruno Castro da Silva, Christoph Dann, Emma Brunskill
2015	AAAI	High-Confidence Off-Policy Evaluation.	Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
2015	ICML	High Confidence Policy Improvement.	Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
2015	IJCAI	Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees.	Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh
2015	WWW	Ad Recommendation Systems for Life-Time Value Optimization.	Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh
2014	AAAI	Natural Temporal Difference Learning.	William Dabney, Philip S. Thomas
2011	AAAI	Value Function Approximation in Reinforcement Learning Using the Fourier Basis.	George Dimitri Konidaris, Sarah Osentoski, Philip S. Thomas
2011	ICML	Conjugate Markov Decision Processes.	Philip S. Thomas, Andrew G. Barto
2009	IAAI	Application of the Actor-Critic Architecture to Functional Electrical Stimulation Control of a Human Arm.	Philip S. Thomas, Antonie J. van den Bogert, Kathleen M. Jagodnik, Michael S. Branicky