Papers
959 papers found
Learning Latent Plans from Play
Corey Lynch, Mohi Khansari, Ted Xiao et al.
Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real
Zhaoming Xie, Patrick Clary, Jeremy Dao et al.
Learning Navigation Subroutines from Egocentric Videos
Ashish Kumar, Saurabh Gupta, Jitendra Malik
Learning Parametric Constraints in High Dimensions from Demonstrations
Glen Chou, Necmiye Ozay, Dmitry Berenson
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
M. Asif Rana, Anqi Li, Harish Ravichandar et al.
Learning to Generalize Kinematic Models to Novel Objects
Ben Abbatematteo, Stefanie Tellex, George Konidaris
Learning to Manipulate Object Collections Using Grounded State Representations
Matthew Wilson, Tucker Hermans
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight
Valts Blukis, Yannick Terme, Eyvind Niklasson et al.
Learning to Navigate Using Mid-Level Visual Priors
Alexander Sax, Jeffrey O. Zhang, Bradley Emi et al.
Learning value functions with relational state representations for guiding task-and-motion planning
Beomjoon Kim, Luke Shimanuki
Leveraging exploration in off-policy algorithms via normalizing flows
Bogdan Mazoure, Thang Doan, Audrey Durand et al.
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control
Grady R. Williams, Brian Goldfain, Keuntaek Lee et al.
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
Yuchen Xiao, Joshua Hoffman, Christopher Amato
MAME : Model-Agnostic Meta-Exploration
Swaminathan Gurumurthy, Sumit Kumar, Katia Sycara
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
Dan Barnes, Rob Weston, Ingmar Posner
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
Bohan Wu, Iretiayo Akinola, Jacob Varley et al.
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu, Deirdre Quillen, Zhanpeng He et al.
Model-based Behavioral Cloning with Future Image Similarity Learning
Alan Wu, AJ Piergiovanni, Michael S. Ryoo
Model-Based Planning with Energy-Based Models
Yilun Du, Toru Lin, Igor Mordatch
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Ofir Nachum, Michael Ahn, Hugo Ponte et al.
Multi-Agent Reinforcement Learning with Multi-Step Generative Models
Orr Krupnik, Igor Mordatch, Aviv Tamar
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
Eunah Jung, Nan Yang, Daniel Cremers
Multimodal Attention Branch Network for Perspective-Free Sentence Generation
Aly Magassouba, Komei Sugiura, Hisashi Kawai
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal et al.
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
Felix Leibfried, Jordi Grau-Moya