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Piotr Mi{\l}o\'s — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Piotr Mi{\l}o\'s
18
papers ·
216
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Simulation-based reinforcement learning for real-world autonomous driving
2019 · 146 citations
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
2021 · 20 citations
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving
2020 · 12 citations
Uncertainty-sensitive Learning and Planning with Ensembles
2019 · 6 citations
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
2024 · 3 citations
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
2024 · 2 citations
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
2018 · 1 citations
Continuous Control With Ensemble Deep Deterministic Policy Gradients
2021 · 1 citations
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control
2024 · 1 citations
When Does Non-Uniform Replay Matter in Reinforcement Learning?
2026
Off-Policy Correction For Multi-Agent Reinforcement Learning
2021
Top co-authors
B{\l}a\.zej Osi\'nski
· 4
\L}ukasz Kuci\'nski
· 4
Henryk Michalewski
· 3
Mateusz Ostaszewski
· 3
Maciej Wo{\l}czyk
· 2
Marek Cygan
· 2
Micha{\l} Zaj\k{a}c
· 2
Razvan Pascanu
· 2
Andrew Melnik
· 1
Bart{\l}omiej Cupia{\l
· 1
Chun Yuan
· 1
Jennifer Hicks
· 1
Topics
Policy Gradient
Value-Based
Model-Based RL
Exploration
Safe RL
Multi-Agent
Meta-RL
Game AI
cs.LG
cs.AI