Harm Van Seijen
11 papers · 2011–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π Academic Marathon Β· Half
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Reinforcement Learning
(10)
Methods
(9)
Machine Learning
(8)
Artificial Intelligence
(4)
Applications
(4)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Learning Types Β· Deep Learning
(1)
Reasoning
(1)
Keywords
reinforcement learning
(4)
value function
(4)
model-based reinforcement learning
(3)
temporal difference learning
(2)
offline reinforcement learning
(2)
function approximation
(2)
empirical risk minimization
(1)
feature correlation
(1)
model-based learning
(1)
hierarchical planning
(1)
sample efficiency
(1)
policy optimization
(1)
visual observation
(1)
discount factor
(1)
continual learning
(1)
representation learning
(1)
directed graph
(1)
value estimation
(1)
zero-shot generalization
(1)
deep reinforcement learning
(1)
Papers
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
ICLR 2024
Principled Offline RL in the Presence of Rich Exogenous Information
ICML 2023
Modular Lifelong Reinforcement Learning via Neural Composition
ICLR 2022
Systematic generalisation with group invariant predictions
ICLR 2021
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
NeurIPS 2020
Dead-ends and Secure Exploration in Reinforcement Learning
ICML 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
NeurIPS 2019
Hybrid Reward Architecture for Reinforcement Learning
NeurIPS 2017
True Online Temporal-Difference Learning
JMLR 2016
Planning by Prioritized Sweeping with Small Backups
ICML 2013
Exploiting Best-Match Equations for Efficient Reinforcement Learning
JMLR 2011