Max Schwarzer
12 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🗃️ Keyword Collector (52)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Reinforcement Learning
(5)
Learning Types · Machine Learning
(5)
Deep Learning
(4)
Core AI
(4)
Learning Paradigms
(4)
Methods
(4)
Optimization & Theory
(4)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Applications · Natural Language Processing
(1)
Applications · Reinforcement Learning
(1)
Keywords
reinforcement learning
(4)
sample efficiency
(3)
deep reinforcement learning
(3)
value iteration
(2)
representation learning
(2)
benchmark evaluation
(2)
data augmentation
(1)
self-supervised learning
(1)
visual question answering
(1)
embedding learning
(1)
transfer learning
(1)
image classification
(1)
deep learning
(1)
policy learning
(1)
embodied ai
(1)
visual navigation
(1)
policy optimization
(1)
group sparsity
(1)
text simplification
(1)
wasserstein distance
(1)
Papers
Large Language Models as Generalizable Policies for Embodied Tasks
ICLR 2024
Bigger, Better, Faster: Human-level Atari with human-level efficiency
ICML 2023
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
ICLR 2023
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
ICLR 2023
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
NeurIPS 2022
The Primacy Bias in Deep Reinforcement Learning
ICML 2022
Data-Efficient Reinforcement Learning with Self-Predictive Representations
ICLR 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
NeurIPS 2021
Improving Human Text Simplification with Sentence Fusion
NAACL 2021
Iterated learning for emergent systematicity in VQA
ICLR 2021
Pretraining Representations for Data-Efficient Reinforcement Learning
NeurIPS 2021
GAIT: A Geometric Approach to Information Theory
AISTATS 2020