Imitation Learning

March 1, 2023

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
Xiatao Sun, Shuo Yang, Mingyan Zhou, Kunpeng Liu, Rahul Mangharam
Imitation Learning Multi Expert Alignment Distillation Imperfect Demonstration
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
Sangwon Seo, Bing Han, Vaibhav Unhelkar
Imitation Learning Autonomous Agent Adaptive Intervention Multi Agent Imitation Human Autonomy Coordination Problem

February 24, 2023

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar
Imitation Learning Visuo Motor Control Long Horizon Manipulation Task Robot Policy Learning Game Data Human Player

February 23, 2023

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
Imitation Learning Agent Behavior Learning Agent Fusion SHAP Agent Strategy Policy Similarity

February 16, 2023

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
Reinforcement Learning Imitation Learning Offline Reinforcement Learning Positive Reinforcement New Method Anti Unification Dual Reinforcement Learning

February 13, 2023

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Yunke Wang, Bo Du, Chang Xu
Imitation Learning Expert Demonstration Adversarial Imitation Learning Adversarial Imitation

February 11, 2023

CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Imitation Learning Resource Management Cloud Environment Intelligent Machine Co Simulation

February 6, 2023

Target-based Surrogates for Stochastic Optimization
Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux
Gradient Descent Imitation Learning Stochastic Optimization Gradient Computation Surrogate Function Target Optimization

January 30, 2023

Hierarchical Imitation Learning with Vector Quantized Models
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Reinforcement Learning Imitation Learning Task Planning Vector Quantization Expert Trajectory Interactive Planning Long Horizon Decision Making

January 24, 2023

January 22, 2023

Immersive Demonstrations are the Key to Imitation Learning
Kelin Li, Digby Chappell, Nicolas Rojas
Imitation Learning Real World Force Feedback Immersive Environment

January 13, 2023

Adaptive Neural Networks Using Residual Fitting
Noah Ford, John Winder, Josh McClellan
Neural Network Imitation Learning Neural Architecture Search Residual Model Network Growth Adaptive Neural

January 10, 2023

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg
Imitation Learning Action Space Robot Learning Robotic Platform Simulation Framework Orbital Motion Robot Environment

January 5, 2023

Learning Neural Force Manifolds for Sim2Real Robotic Symmetrical Paper Folding
Andrew Choi, Dezhong Tong, Demetri Terzopoulos, Jungseock Joo, M. Khalid Jawed
Imitation Learning Robotic Manipulation Deformable Object Manipulation Task Neural Manifold Origami Microfliers

January 3, 2023

December 30, 2022

Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks
Trevor Ablett, Bryan Chan, Jonathan Kelly
LeArning Abstract Imitation Learning Multi Task Environment Exploration Online Reinforcement Learning State Action Pair Adversarial Imitation Learning Adversarial Imitation

December 21, 2022

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
Reinforcement Learning Autonomous Driving Imitation Learning Feature Imitation Driving Data Complex Driving

December 16, 2022

Imitation Learning based Auto-Correction of Extrinsic Parameters for A Mixed-Reality Setup
Shubham Sonawani, Yifan Zhou, Heni Ben Amor
Imitation Learning Calibration Performance Feature Imitation Language Correction Mixed Reality Visual Sensor Extrinsic Calibration Parameter

Papers

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

Automated Task-Time Interventions to Improve Teamwork using Imitation Learning

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments

Target-based Surrogates for Stochastic Optimization

Hierarchical Imitation Learning with Vector Quantized Models

SMART: Self-supervised Multi-task pretrAining with contRol Transformers

Language-guided Task Adaptation for Imitation Learning

Immersive Demonstrations are the Key to Imitation Learning

Adaptive Neural Networks Using Residual Fitting

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Learning Neural Force Manifolds for Sim2Real Robotic Symmetrical Paper Folding

Genetic Imitation Learning by Reward Extrapolation

Explaining Imitation Learning through Frames

Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

Imitation Learning based Auto-Correction of Extrinsic Parameters for A Mixed-Reality Setup