Herke van Hoof
20 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
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Top co-authors
Keywords
policy search
(2)
policy gradient
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graph neural network
(2)
stochastic process
(2)
reinforcement learning
(2)
deep reinforcement learning
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continuous control
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stochastic beam search
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variational inference
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sample efficiency
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uncertainty quantification
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combinatorial optimization
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robot navigation
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instruction following
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policy optimization
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representation learning
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policy learning
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Papers
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
AAAI 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
ICLR 2023
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation
AAAI 2022
Neural Topological Ordering for Computation Graphs
NIPS 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
NIPS 2022
Multi-Agent MDP Homomorphic Networks
ICLR 2022
Value Refinement Network (VRN)
IJCAI 2022
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods
IJCAI 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
ICML 2022
Deep Coherent Exploration for Continuous Control
ICML 2021
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement
JMLR 2020
Experimental design for MRI by greedy policy search
NIPS 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
ICLR 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
ICML 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
NIPS 2020
Attention, Learn to Solve Routing Problems!
ICLR 2019
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
ICML 2019
BanditSum: Extractive Summarization as a Contextual Bandit
EMNLP 2018
Non-parametric Policy Search with Limited Information Loss
JMLR 2017
Learning of Non-Parametric Control Policies with High-Dimensional State Features
AISTATS 2015