Harm van Seijen

44 papers A* 11A 3C 1Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. ICLR Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
2023	J	`jnl`	Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
2023	A	`conf`	One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
2023	A*	`conf`	Principled Offline RL in the Presence of Rich Exogenous Information. ICML Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2023	J	`jnl`	Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. CoRR Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
2023	—	`conf`	Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. CoLLAs Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
2022	A	`conf`	A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. AAMAS Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
2022	J	`jnl`	Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2022	A*	`conf`	Modular Lifelong Reinforcement Learning via Neural Composition. ICLR Jorge A. Mendez, Harm van Seijen, Eric Eaton
2022	J	`jnl`	Modular Lifelong Reinforcement Learning via Neural Composition. CoRR Jorge A. Mendez, Harm van Seijen, Eric Eaton
2022	J	`jnl`	One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
2022	A*	`conf`	Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. ICML Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
2022	J	`jnl`	Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. CoRR Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
2021	A*	`conf`	Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. ICML Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
2021	J	`jnl`	Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. CoRR Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
2021	A*	`conf`	Systematic generalisation with group invariant predictions. ICLR Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron C. Courville
2020	J	`jnl`	A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
2020	A*	`conf`	The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning. NeurIPS Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar
2020	J	`jnl`	The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning. CoRR Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar
2019	A*	`conf`	Dead-ends and Secure Exploration in Reinforcement Learning. ICML Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
2019	A*	`conf`	Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. NeurIPS Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
2019	J	`jnl`	Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. CoRR Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
2018	—	`conf`	In reinforcement learning, all objective functions are not equal. ICLR (Workshop) Romain Laroche, Harm van Seijen
2018	—	`conf`	Learning Invariances for Policy Generalization. ICLR (Workshop) Remi Tachet des Combes, Philip Bachman, Harm van Seijen
2018	J	`jnl`	Learning Invariances for Policy Generalization. CoRR Remi Tachet des Combes, Philip Bachman, Harm van Seijen
2018	A*	`conf`	On Value Function Representation of Long Horizon Problems. AAAI Lucas Lehnert, Romain Laroche, Harm van Seijen
2017	A	`conf`	Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning. AAMAS Vivek Veeriah, Harm van Seijen, Richard S. Sutton
2017	—	`conf`	Hybrid Reward Architecture for Reinforcement Learning. NIPS Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang
2017	J	`jnl`	Hybrid Reward Architecture for Reinforcement Learning. CoRR Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
2017	J	`jnl`	Multi-Advisor Reinforcement Learning. CoRR Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen
2016	J	`jnl`	Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation. CoRR Harm van Seijen
2016	J	`jnl`	Improving Scalability of Reinforcement Learning by Separation of Concerns. CoRR Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
2016	J	`jnl`	True Online Temporal-Difference Learning. J. Mach. Learn. Res. Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
2015	J	`jnl`	An Empirical Evaluation of True Online TD(λ). CoRR Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard S. Sutton
2015	J	`jnl`	True Online Temporal-Difference Learning. CoRR Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
2014	J	`jnl`	Efficient Abstraction Selection in Reinforcement Learning. Comput. Intell. Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
2014	A*	`conf`	True Online TD(lambda). ICML Harm van Seijen, Richard S. Sutton
2013	—	`conf`	Efficient Abstraction Selection in Reinforcement Learning (Extended Abstract). SARA Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
2013	J	`jnl`	Planning by Prioritized Sweeping with Small Backups CoRR Harm van Seijen, Richard S. Sutton
2013	—	`conf`	Planning by Prioritized Sweeping with Small Backups. ICML (3) Harm van Seijen, Richard S. Sutton
2011	J	`jnl`	Exploiting Best-Match Equations for Efficient Reinforcement Learning. J. Mach. Learn. Res. Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering
2010	—	`ch.`	Switching between Representations in Reinforcement Learning. Interactive Collaborative Information Systems Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
2009	—	`conf`	A theoretical and empirical analysis of Expected Sarsa. ADPRL Harm van Seijen, Hado van Hasselt, Shimon Whiteson, Marco A. Wiering
2009	C	`conf`	Postponed Updates for Temporal-Difference Reinforcement Learning. ISDA Harm van Seijen, Shimon Whiteson