Mateusz Ostaszewski
8 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
👑
Triple Crown
📈
Trend Setter
Conferences
NIPS (3)
ICLR (2)
ICML (2)
IJCAI (1)
Top co-authors
Keywords
reinforcement learning
(2)
deep reinforcement learning
(2)
continual learning
(1)
sample efficiency
(1)
curriculum learning
(1)
policy learning
(1)
out-of-distribution generalization
(1)
data representation
(1)
continuous control
(1)
optimistic exploration
(1)
temporal difference
(1)
deep neural network
(1)
ground state energy
(1)
circuit optimization
(1)
model-free algorithm
(1)
critic network
(1)
quantum circuit
(1)
pessimistic actor-critic
(1)
critic approximation error
(1)
supervised image classification
(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
NIPS 2024
Curriculum reinforcement learning for quantum architecture search under hardware errors
ICLR 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
ICML 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
ICML 2024
The Tunnel Effect: Building Data Representations in Deep Neural Networks
NIPS 2023
Reinforcement learning for optimization of variational quantum circuit architectures
NIPS 2021