Daniel Freeman
5 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
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Keywords
reinforcement learning
(2)
representation learning
(1)
stochastic gradient descent
(1)
multi-task learning
(1)
offline reinforcement learning
(1)
curriculum learning
(1)
neural network optimization
(1)
model-based reinforcement learning
(1)
multi-step planning
(1)
atari game
(1)
zero-shot generalization
(1)
world model
(1)
embodied agent
(1)
decision transformer
(1)
behavioral cloning
(1)
model scaling
(1)
learned optimizer
(1)
physical reasoning
(1)
physics-based simulation
(1)
contact modeling
(1)
Papers
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
ECCV 2024
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
ICML 2022
Multi-Game Decision Transformers
NeurIPS 2022
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
NeurIPS 2019
Understanding and correcting pathologies in the training of learned optimizers
ICML 2019