Max Schwarzer
12 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (5)
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
π₯
Unstoppable
(5)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
ICLR (5)
NIPS (3)
ICML (2)
AISTATS (1)
NAACL (1)
Top co-authors
Keywords
deep reinforcement learning
(2)
reinforcement learning
(2)
value iteration
(2)
sample efficiency
(2)
policy optimization
(1)
transfer learning
(1)
deep learning
(1)
text simplification
(1)
statistical evaluation
(1)
value estimation
(1)
generative model
(1)
value-based learning
(1)
experience replay
(1)
graph-based method
(1)
cognitive science
(1)
barycenter computation
(1)
neural network scaling
(1)
atari benchmark
(1)
data-efficient reinforcement learning
(1)
primacy bia
(1)
Papers
Large Language Models as Generalizable Policies for Embodied Tasks
ICLR 2024
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
ICLR 2023
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
ICLR 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency
ICML 2023
The Primacy Bias in Deep Reinforcement Learning
ICML 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
NIPS 2022
Improving Human Text Simplification with Sentence Fusion
NAACL 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
NIPS 2021
Iterated learning for emergent systematicity in VQA
ICLR 2021
Data-Efficient Reinforcement Learning with Self-Predictive Representations
ICLR 2021
Pretraining Representations for Data-Efficient Reinforcement Learning
NIPS 2021
GAIT: A Geometric Approach to Information Theory
AISTATS 2020