Papers
959 papers found
Auxiliary Tasks Speed Up Learning Point Goal Navigation
Joel Ye, Dhruv Batra, Erik Wijmans et al.
BayesRace: Learning to race autonomously using prior experience
Achin Jain, Matthew O’Kelly, Pratik Chaudhari et al.
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
Hai Nguyen, Brett Daley, Xinchao Song et al.
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
Rohan Chitnis, Tom Silver, Beomjoon Kim et al.
Chaining Behaviors from Data with Model-Free Reinforcement Learning
Avi Singh, Albert Yu, Jonathan Yang et al.
CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang, Yujie Lu, Hang Zhao
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Samuel Pfrommer, Mathew Halm, Michael Posa
Contrastive Variational Reinforcement Learning for Complex Observations
Xiao Ma, SIWEI CHEN, David Hsu et al.
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
Hengli Wang, Rui Fan, Ming Liu
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Wilko Schwarting, Tim Seyde, Igor Gilitschenski et al.
DeepMPCVS: Deep Model Predictive Control for Visual Servoing
Pushkal Katara, Harish YVS, Harit Pandya et al.
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching
Zexi Chen, Xuecheng Xu, Yue Wang et al.
Deep Reactive Planning in Dynamic Environments
Kei Ota, Devesh Jha, Tadashi Onishi et al.
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang, Neelesh Kumar, Raymond Yoo et al.
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Xiao Li, Guy Rosman, Igor Gilitschenski et al.
Diverse Plausible Shape Completions from Ambiguous Depth Images
Bradley Saund, Dmitry Berenson
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
Chiho Choi, Srikanth Malla, Abhishek Patil et al.
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer
Takayuki Murooka, Masashi Hamaya, Felix von Drigalski et al.
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
Sean Gillen, Katie Byl
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Michael Danielczuk, Ashwin Balakrishna, Daniel Brown et al.
Fast robust peg-in-hole insertion with continuous visual servoing
Rasmus Haugaard, Jeppe Langaa, Christoffer Sloth et al.
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
Valts Blukis, Ross Knepper, Yoav Artzi
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni, Harshit Sikchi, Yufei Wang et al.
Fit2Form: 3D Generative Model for Robot Gripper Form Design
Huy Ha, Shubham Agrawal, Shuran Song