Harley Wiltzer

16 papers A* 6Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning. CoRR Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc G. Bellemare, David Meger
2025	J	`jnl`	KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning. CoRR Eric Zimmermann, Harley Wiltzer, Justin Szeto, David Alvarez-Melis, Lester Mackey
2025	A*	`conf`	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. ICLR Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury
2025	J	`jnl`	On the geometry and topology of representations: the manifolds of modular addition. CoRR Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer, Vincent Létourneau, Colin Daniels, Doina Precup, Jonathan Love
2025	J	`jnl`	Tractable Representations for Convergent Approximation of Distributional HJB Equations. CoRR Julie Alhosh, Harley Wiltzer, David Meger
2024	A*	`conf`	A Distributional Analogue to the Successor Representation. ICML Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, André Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland
2024	J	`jnl`	A Distributional Analogue to the Successor Representation. CoRR Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, André Barreto, Will Dabney, Marc G. Bellemare, Mark Rowland
2024	A*	`conf`	Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. NeurIPS Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
2024	J	`jnl`	Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. CoRR Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
2024	A*	`conf`	Foundations of Multivariate Distributional Reinforcement Learning. NeurIPS Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland
2024	J	`jnl`	Foundations of Multivariate Distributional Reinforcement Learning. CoRR Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland
2024	J	`jnl`	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. CoRR Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury
2024	A*	`conf`	Simplifying Constraint Inference with Inverse Reinforcement Learning. NeurIPS Adriana Hugessen, Harley Wiltzer, Glen Berseth
2023	A*	`conf`	Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control. NeurIPS Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
2023	J	`jnl`	Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control. CoRR Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
2022	J	`jnl`	Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. CoRR Harley Wiltzer, David Meger, Marc G. Bellemare