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Atkeson, Christopher G
21 publications
WACV
2024
Shape from Shading for Robotic Manipulation
Arkadeep Narayan Chaudhury
,
Leonid Keselman
,
Christopher G. Atkeson
CoRL
2023
Robot Parkour Learning
Ziwen Zhuang
,
Zipeng Fu
,
Jianren Wang
,
Christopher G. Atkeson
,
Sören Schwertfeger
,
Chelsea Finn
,
Hang Zhao
CoRL
2021
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects Across Diverse Configurations and Views
Jingyun Yang
,
Hsiao-Yu Tung
,
Yunchu Zhang
,
Gaurav Pathak
,
Ashwini Pokle
,
Christopher G Atkeson
,
Katerina Fragkiadaki
JMLR
2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
Akshara Rai
,
Rika Antonova
,
Franziska Meier
,
Christopher G. Atkeson
CoRL
2018
Learning Audio Feedback for Estimating Amount and Flow of Granular Material
Samuel Clarke
,
Travers Rhodes
,
Christopher G. Atkeson
,
Oliver Kroemer
CoRL
2017
Deep Kernels for Optimizing Locomotion Controllers
Rika Antonova
,
Akshara Rai
,
Christopher G. Atkeson
NeurIPS
2002
Minimax Differential Dynamic Programming: An Application to Robust Biped Walking
Jun Morimoto
,
Christopher G. Atkeson
NeurIPS
2002
Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach
Christopher G. Atkeson
,
Jun Morimoto
NeCo
1998
Constructive Incremental Learning from Only Local Information
Stefan Schaal
,
Christopher G. Atkeson
NeurIPS
1997
Local Dimensionality Reduction
Stefan Schaal
,
Sethu Vijayakumar
,
Christopher G. Atkeson
NeurIPS
1997
Nonparametric Model-Based Reinforcement Learning
Christopher G. Atkeson
ICML
1997
Robot Learning from Demonstration
Christopher G. Atkeson
,
Stefan Schaal
NeurIPS
1995
From Isolation to Cooperation: An Alternative View of a System of Experts
Stefan Schaal
,
Christopher G. Atkeson
MLJ
1995
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Andrew W. Moore
,
Christopher G. Atkeson
NeurIPS
1993
Assessing the Quality of Learned Local Models
Stefan Schaal
,
Christopher G. Atkeson
MLJ
1993
Prioritized Sweeping: Reinforcement Learning with Less Data and Less Time
Andrew W. Moore
,
Christopher G. Atkeson
NeurIPS
1993
Using Local Trajectory Optimizers to Speed up Global Optimization in Dynamic Programming
Christopher G. Atkeson
NeurIPS
1992
Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping
Andrew W. Moore
,
Christopher G. Atkeson
NeurIPS
1991
Some Approximation Properties of Projection Pursuit Learning Networks
Ying Zhao
,
Christopher G. Atkeson
NeurIPS
1990
Generalization Properties of Radial Basis Functions
Sherif M. Botros
,
Christopher G. Atkeson
NeurIPS
1989
Using Local Models to Control Movement
Christopher G. Atkeson