Aleksandra Faust
22 papers · 2019–2025 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(18)
Core AI
(15)
Machine Learning
(14)
Learning Types Β· Machine Learning
(7)
Natural Language Processing
(6)
Reinforcement Learning
(6)
Learning Paradigms Β· Artificial Intelligence
(6)
Methods
(5)
Deep Learning
(4)
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(4)
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(3)
Learning Paradigms Β· Machine Learning
(3)
Optimization & Theory
(3)
Keywords
large language model
(6)
reinforcement learning
(5)
few-shot learning
(2)
web navigation
(2)
imitation learning
(2)
instruction following
(2)
web automation
(2)
curriculum learning
(2)
html understanding
(2)
prompt engineering
(1)
in-context learning
(1)
direct preference optimization
(1)
locomotion control
(1)
chain-of-thought reasoning
(1)
visual grounding
(1)
preference learning
(1)
neural architecture search
(1)
autonomous driving
(1)
hierarchical planning
(1)
image captioning
(1)
Papers
ElasticTok: Adaptive Tokenization for Image and Video
ICLR 2025
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
ICLR 2025
Training Language Models to Self-Correct via Reinforcement Learning
ICLR 2025
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
ICLR 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NeurIPS 2024
Many-Shot In-Context Learning
NeurIPS 2024
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
ICLR 2024
Position: Levels of AGI for Operationalizing Progress on the Path to AGI
ICML 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
ICML 2024
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
ICML 2023
Compositional Learning-based Planning for Vision POMDPs
L4DC 2023
SayTap: Language to Quadrupedal Locomotion
CoRL 2023
Understanding HTML with Large Language Models
EMNLP 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
NeurIPS 2023
Differentiable Architecture Search for Reinforcement Learning
AutoML 2022
Fast inference and transfer of compositional task structures for few-shot task generalization
UAI 2022
Less Is More: Generating Grounded Navigation Instructions From Landmarks
CVPR 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning
NeurIPS 2021
Evolving Reinforcement Learning Algorithms
ICLR 2021
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
CoRL 2020
Safe Policy Learning for Continuous Control
CoRL 2020
Learning to Navigate the Web
ICLR 2019