Mateusz Ostaszewski
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(16)
👑
Triple Crown
Venues
Top co-authors
Research topics
Reinforcement Learning
(5)
Methods
(5)
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Applications
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Interdisciplinary
(2)
Science
(2)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
reinforcement learning
(4)
deep reinforcement learning
(2)
curriculum learning
(2)
continual learning
(2)
spectral regularization
(1)
optimistic exploration
(1)
regularization
(1)
plasticity loss
(1)
data representation
(1)
continuous control
(1)
out-of-distribution generalization
(1)
forgetting
(1)
variational quantum algorithm
(1)
temporal difference
(1)
deep neural network
(1)
policy learning
(1)
quantum chemistry
(1)
ground state energy
(1)
sample efficiency
(1)
representation learning
(1)
Papers
A Case for Validation Buffer in Pessimistic Actor-Critic
IJCAI 2025
Learning Continually by Spectral Regularization
ICLR 2025
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control
NeurIPS 2024
Curriculum reinforcement learning for quantum architecture search under hardware errors
ICLR 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
ICML 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
ICML 2024
The Tunnel Effect: Building Data Representations in Deep Neural Networks
NeurIPS 2023
Reinforcement learning for optimization of variational quantum circuit architectures
NeurIPS 2021