Harm van Seijen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 33

Top Topics

Function Approximation

Temporal Abstractions

Reinforcement Learning

Dijkstra Algorithm

Top Venues

Publications

Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. ICLR (2024)
Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. CoLLAs (2023)
Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. CoRR (2023)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS (2023)
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
Principled Offline RL in the Presence of Rich Exogenous Information. ICML (2023)
Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR (2023)
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
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR (2022)
Jorge A. Mendez, Harm van Seijen, Eric Eaton
Modular Lifelong Reinforcement Learning via Neural Composition. CoRR (2022)
Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. ICML (2022)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR (2022)
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. AAMAS (2022)
Jorge A. Mendez, Harm van Seijen, Eric Eaton
Modular Lifelong Reinforcement Learning via Neural Composition. ICLR (2022)
Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. CoRR (2022)
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. ICML (2021)
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. CoRR (2021)
Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron C. Courville
Systematic generalisation with group invariant predictions. ICLR (2021)
Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning. CoRR (2020)
Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning. NeurIPS (2020)
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR (2020)
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. NeurIPS (2019)
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning. CoRR (2019)
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Dead-ends and Secure Exploration in Reinforcement Learning. ICML (2019)
Remi Tachet des Combes, Philip Bachman, Harm van Seijen
Learning Invariances for Policy Generalization. ICLR (Workshop) (2018)
Lucas Lehnert, Romain Laroche, Harm van Seijen
On Value Function Representation of Long Horizon Problems. AAAI (2018)
Romain Laroche, Harm van Seijen
In reinforcement learning, all objective functions are not equal. ICLR (Workshop) (2018)
Remi Tachet des Combes, Philip Bachman, Harm van Seijen
Learning Invariances for Policy Generalization. CoRR (2018)
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
Hybrid Reward Architecture for Reinforcement Learning. CoRR (2017)
Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen
Multi-Advisor Reinforcement Learning. CoRR (2017)
Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang
Hybrid Reward Architecture for Reinforcement Learning. NIPS (2017)
Vivek Veeriah, Harm van Seijen, Richard S. Sutton
Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning. AAMAS (2017)
Harm van Seijen
Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation. CoRR (2016)
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
Improving Scalability of Reinforcement Learning by Separation of Concerns. CoRR (2016)
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
True Online Temporal-Difference Learning. J. Mach. Learn. Res. 17 (2016)
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
True Online Temporal-Difference Learning. CoRR (2015)
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard S. Sutton
An Empirical Evaluation of True Online TD(λ). CoRR (2015)
Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
Efficient Abstraction Selection in Reinforcement Learning. Comput. Intell. 30 (4) (2014)
Harm van Seijen, Richard S. Sutton
True Online TD(lambda). ICML (2014)
Harm van Seijen, Richard S. Sutton
Planning by Prioritized Sweeping with Small Backups. ICML (3) (2013)
Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
Efficient Abstraction Selection in Reinforcement Learning (Extended Abstract). SARA (2013)
Harm van Seijen, Richard S. Sutton
Planning by Prioritized Sweeping with Small Backups CoRR (2013)
Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering
Exploiting Best-Match Equations for Efficient Reinforcement Learning. J. Mach. Learn. Res. 12 (2011)
Harm van Seijen, Hado van Hasselt, Shimon Whiteson, Marco A. Wiering
A theoretical and empirical analysis of Expected Sarsa. ADPRL (2009)
Harm van Seijen, Shimon Whiteson
Postponed Updates for Temporal-Difference Reinforcement Learning. ISDA (2009)