James E. Kostas

11 papers A* 4Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	The Cliff of Overcommitment with Policy Gradient Step Sizes. RLJ Scott M. Jordan, Samuel Neumann, James E. Kostas, Adam White, Philip S. Thomas
2023	J	`jnl`	Coagent Networks: Generalized and Scaled. CoRR James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas
2023	—	`conf`	Seldonian Toolkit: Building Software with Safe and Fair Machine Learning. ICSE Companion Austin Hoag, James E. Kostas, Bruno Castro da Silva, Philip S. Thomas, Yuriy Brun
2021	J	`jnl`	Edge-Compatible Reinforcement Learning for Recommendations. CoRR James E. Kostas, Philip S. Thomas, Georgios Theocharous
2021	A*	`conf`	High Confidence Generalization for Reinforcement Learning. ICML James E. Kostas, Yash Chandak, Scott M. Jordan, Georgios Theocharous, Philip S. Thomas
2021	A*	`conf`	Structural Credit Assignment in Neural Networks using Reinforcement Learning. NeurIPS Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White
2020	A*	`conf`	Asynchronous Coagent Networks. ICML James E. Kostas, Chris Nota, Philip S. Thomas
2019	J	`jnl`	Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock. CoRR James E. Kostas, Chris Nota, Philip S. Thomas
2019	J	`jnl`	Classical Policy Gradient: Preserving Bellman's Principle of Optimality. CoRR Philip S. Thomas, Scott M. Jordan, Yash Chandak, Chris Nota, James E. Kostas
2019	A*	`conf`	Learning Action Representations for Reinforcement Learning. ICML Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
2019	J	`jnl`	Learning Action Representations for Reinforcement Learning. CoRR Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas