J. Andrew Bagnell
15 papers · 1999–2024 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Champion
π§
Keyword Pioneer
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Grand Slam
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Trend Setter
π
Century Club Β· Bronze
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(9)
Reinforcement Learning
(6)
Learning Types
(6)
Optimization & Theory Β· Machine Learning
(6)
Methods
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(3)
Robotics
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Systems
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
imitation learning
(3)
reinforcement learning
(3)
optimal control
(2)
policy optimization
(2)
policy learning
(2)
neural network
(2)
game theory
(1)
language modeling
(1)
semantic segmentation
(1)
natural policy gradient
(1)
perturbation analysis
(1)
preference optimization
(1)
sample complexity
(1)
trajectory prediction
(1)
preference learning
(1)
policy search
(1)
policy gradient
(1)
human pose estimation
(1)
structured prediction
(1)
image generation
(1)
Papers
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
NeurIPS 2024
On the Effectiveness of Iterative Learning Control
L4DC 2022
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
AAAI 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
ICML 2021
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
AAAI 2019
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
ICLR 2018
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
ICML 2017
Inference Machines for Nonparametric Filter Learning
IJCAI 2016
Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees
IJCAI 2016
Predicting Multiple Structured Visual Interpretations
ICCV 2015
Contextual Sequence Prediction with Application to Control Library Optimization
RSS 2012
Robust Object Grasping using Force Compliant Motion Primitives
RSS 2012
Inverse Optimal Heuristic Control for Imitation Learning
AISTATS 2005
(Approximate) Subgradient Methods for Structured Prediction
AISTATS 1999