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Mariano Phielipp — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mariano Phielipp
17
papers ·
89
citations ·
7
h-index
Intel (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Goal-conditioned Imitation Learning
2019 · 32 citations
Hierarchical Policy Learning is Sensitive to Goal Space Design
2019 · 10 citations
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
2021 · 4 citations
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
2023 · 3 citations
Instance based Generalization in Reinforcement Learning
2020 · 2 citations
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
2022 · 1 citations
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
2022 · 1 citations
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
2024 · 1 citations
CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning
2025
Offline Policy Comparison with Confidence: Benchmarks and Baselines
2022
Top co-authors
Glen Berseth
· 2
Hassam Ullah Sheikh
· 2
Santiago Miret
· 2
Adriana Hugessen
· 1
Alan Fern
· 1
Antoine Clavaud
· 1
Anurag Koul
· 1
Arjun K. Bansal
· 1
Brandon Trabucco
· 1
Carlos Florensa
· 1
Chelsea Finn
· 1
Guillermo Sapiro
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Exploration
Meta-RL
Offline RL
Game AI
Multi-Agent