Philip S. Thomas

Identifiers

• name variant Philip S. Thomas 0.60 · backfill

Papers (15)

1. Classical Policy Gradient: Preserving Bellman's Principle of Optimality cs.LG · 2019 · author #1
2. A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning cs.LG · 2019 · author #2
3. Learning Action Representations for Reinforcement Learning cs.LG · 2019 · author #5
4. Privacy Preserving Off-Policy Evaluation cs.LG · 2019 · author #2
5. Natural Option Critic cs.LG · 2018 · author #2
6. A Compression-Inspired Framework for Macro Discovery cs.AI · 2017 · author #3
7. On Ensuring that Intelligent Machines Are Well-Behaved cs.AI · 2017 · author #1
8. Policy Gradient Methods for Reinforcement Learning with Function Approximation and Action-Dependent Baselines cs.AI · 2017 · author #1
9. Data-Efficient Policy Evaluation Through Behavior Policy Search cs.AI · 2017 · author #2
10. Decoupling Learning Rules from Representations cs.AI · 2017 · author #1
11. Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation cs.AI · 2017 · author #2
12. Importance Sampling with Unequal Support cs.LG · 2016 · author #1
13. Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning cs.LG · 2016 · author #1
14. A Notation for Markov Decision Processes cs.AI · 2015 · author #1
15. Increasing the Action Gap: New Operators for Reinforcement Learning cs.AI · 2015 · author #4

Mentions

• 1711.09048 #3 · arxiv_oai · confidence 0.70 Philip S. Thomas

Frequent Coauthors

• Emma Brunskill 6 shared papers
• Francisco M. Garcia 2 shared papers
• James Kostas 2 shared papers
• Yash Chandak 2 shared papers
• Andrew G. Barto 1 shared papers
• Arthur Guez 1 shared papers
• Billy Okal 1 shared papers
• Bruno Castro da Silva 1 shared papers
• Bruno C. da Silva 1 shared papers
• Chris Nota 1 shared papers
• Christoph Dann 1 shared papers
• Georgios Theocharous 1 shared papers
• Georg Ostrovski 1 shared papers
• Gerome Miklau 1 shared papers
• Josiah P. Hanna 1 shared papers
• Marc G. Bellemare 1 shared papers
• Peter Stone 1 shared papers
• R\'emi Munos 1 shared papers
• Saket Tiwari 1 shared papers
• Scott Jordan 1 shared papers