Harm van Seijen

According to our database, Harm van Seijen authored at least 32 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Combining Spatial and Temporal Abstraction in Planning for Better Generalization.

Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

CoRR, 2023

Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning.

Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar

CoRR, 2023

Principled Offline RL in the Presence of Rich Exogenous Information.

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

Proceedings of the International Conference on Machine Learning, 2023

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning.

Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar

Proceedings of the Conference on Lifelong Learning Agents, 2023

One-Shot Learning from a Demonstration with Hierarchical Latent Language.

Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.

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

CoRR, 2022

Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods.

Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen

Proceedings of the International Conference on Machine Learning, 2022

Modular Lifelong Reinforcement Learning via Neural Composition.

Jorge A. Mendez, Harm van Seijen, Eric Eaton

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms.

Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks.

Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

Systematic generalisation with group invariant predictions.

Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron C. Courville

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning.

Harm van Seijen, Hadi Nekoei, Evan Racah, Sarath Chandar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning.

Harm van Seijen, Mehdi Fatemi, Arash Tavakoli

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dead-ends and Secure Exploration in Reinforcement Learning.

Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

In reinforcement learning, all objective functions are not equal.

Romain Laroche, Harm van Seijen

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Invariances for Policy Generalization.

Remi Tachet des Combes, Philip Bachman, Harm van Seijen

Proceedings of the 6th International Conference on Learning Representations, 2018

On Value Function Representation of Long Horizon Problems.

Lucas Lehnert, Romain Laroche, Harm van Seijen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-Advisor Reinforcement Learning.

Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen

CoRR, 2017

Hybrid Reward Architecture for Reinforcement Learning.

Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning.

Vivek Veeriah, Harm van Seijen, Richard S. Sutton

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

True Online Temporal-Difference Learning.

Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton

J. Mach. Learn. Res., 2016

Improving Scalability of Reinforcement Learning by Separation of Concerns.

Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche

CoRR, 2016

Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation.

Harm van Seijen

CoRR, 2016

2015

An Empirical Evaluation of True Online TD(λ).

Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard S. Sutton

CoRR, 2015

2014

Efficient Abstraction Selection in Reinforcement Learning.

Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester

Comput. Intell., 2014

True Online TD(lambda).

Harm van Seijen, Richard S. Sutton

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Efficient Abstraction Selection in Reinforcement Learning (Extended Abstract).

Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester

Proceedings of the Tenth Symposium on Abstraction, Reformulation, and Approximation, 2013

Planning by Prioritized Sweeping with Small Backups.

Harm van Seijen, Richard S. Sutton

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Exploiting Best-Match Equations for Efficient Reinforcement Learning.

Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering

J. Mach. Learn. Res., 2011

2010

Switching between Representations in Reinforcement Learning.

Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester

Proceedings of the Interactive Collaborative Information Systems, 2010

2009

Postponed Updates for Temporal-Difference Reinforcement Learning.

Harm van Seijen, Shimon Whiteson

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A theoretical and empirical analysis of Expected Sarsa.

Harm van Seijen, Hado van Hasselt, Shimon Whiteson, Marco A. Wiering

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009