Byron Boots
Identifiers
- name variant Byron Boots 0.60 · backfill
Papers (45)
- Leveraging Experience in Lazy Search cs.RO · 2019 · author #3
- Provably Efficient Imitation Learning from Observation Alone cs.LG · 2019 · author #3
- Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks eess.SY · 2019 · author #3
- Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold cs.LG · 2019 · author #3
- Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing cs.RO · 2019 · author #5
- RMPflow: A Computational Graph for Automatic Motion Policy Generation cs.RO · 2018 · author #6
- Learning and Inference in Hilbert Space with Quantum Graphical Models stat.ML · 2018 · author #3
- Truncated Back-propagation for Bilevel Optimization cs.LG · 2018 · author #4
- Predictor-Corrector Policy Optimization cs.LG · 2018 · author #4
- Robust Learning of Tactile Force Estimation through Robot Interaction cs.RO · 2018 · author #4
- Orthogonally Decoupled Variational Gaussian Processes stat.ML · 2018 · author #3
- Adversarial Imitation via Variational Inverse Reinforcement Learning cs.LG · 2018 · author #2
- Learning to Align Images using Weak Geometric Supervision cs.CV · 2018 · author #2
- Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments cs.RO · 2018 · author #5
- STEAP: simultaneous trajectory estimation and planning cs.RO · 2018 · author #4
- Semantically Meaningful View Selection cs.RO · 2018 · author #5
- Improving Image Clustering With Multiple Pretrained CNN Feature Extractors cs.CV · 2018 · author #2
- Accelerating Imitation Learning with Predictive Models cs.LG · 2018 · author #4
- Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning cs.LG · 2018 · author #3
- Dual Policy Iteration cs.LG · 2018 · author #3
- Fast Policy Learning through Imitation and Reinforcement cs.LG · 2018 · author #4
- Convergence of Value Aggregation for Imitation Learning cs.LG · 2018 · author #2
- Variational Inference for Gaussian Process Models with Linear Complexity stat.ML · 2017 · author #2
- Deep Forward and Inverse Perceptual Models for Tracking and Prediction cs.RO · 2017 · author #5
- Learning Hidden Quantum Markov Models stat.ML · 2017 · author #3
- Manifold Regularization for Kernelized LSTD cs.LG · 2017 · author #3
- Predictive-State Decoders: Encoding the Future into Recurrent Networks stat.ML · 2017 · author #6
- One-Shot Learning for Semantic Segmentation cs.CV · 2017 · author #5
- Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference cs.RO · 2017 · author #5
- Predictive State Recurrent Neural Networks stat.ML · 2017 · author #4
- Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups cs.RO · 2017 · author #2
- Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction cs.LG · 2017 · author #4
- Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference cs.RO · 2017 · author #4
- 4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture cs.RO · 2016 · author #3
- Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference cs.RO · 2016 · author #4
- Learning from Conditional Distributions via Dual Embeddings cs.LG · 2016 · author #4
- Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces cs.RO · 2016 · author #4
- Learning to Filter with Predictive State Inference Machines cs.LG · 2015 · author #3
- Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping cs.RO · 2015 · author #3
- Hilbert Space Embeddings of Predictive State Representations cs.LG · 2013 · author #1
- A Spectral Learning Approach to Range-Only SLAM cs.LG · 2012 · author #1
- Two-Manifold Problems cs.LG · 2011 · author #1
- Predictive State Temporal Difference Learning cs.LG · 2010 · author #1
- Closing the Learning-Planning Loop with Predictive State Representations cs.LG · 2009 · author #1
- Reduced-Rank Hidden Markov Models cs.LG · 2009 · author #2
Mentions
- 1903.12605 #3 · arxiv_oai · confidence 0.70 Byron Boots
- 1811.07049 #6 · arxiv_oai · confidence 0.70 Byron Boots
- 1702.07335 #4 · arxiv_oai · confidence 0.70 Byron Boots
- 1504.02696 #3 · backfill · confidence 0.70 Byron Boots
- 1309.6819 #1 · backfill · confidence 0.70 Byron Boots
- 1207.2491 #1 · backfill · confidence 0.70 Byron Boots
- 1112.6399 #1 · backfill · confidence 0.70 Byron Boots
- 1011.0041 #1 · backfill · confidence 0.70 Byron Boots
- 0912.2385 #1 · backfill · confidence 0.70 Byron Boots
- 0910.0902 #2 · backfill · confidence 0.70 Byron Boots
Frequent Coauthors
- Ching-An Cheng 10 shared papers
- Xinyan Yan 8 shared papers
- Geoffrey J. Gordon 7 shared papers
- J. Andrew Bagnell 6 shared papers
- Mustafa Mukadam 6 shared papers
- Wen Sun 6 shared papers
- Frank Dellaert 5 shared papers
- Jing Dong 5 shared papers
- Nathan Ratliff 4 shared papers
- Alexander Lambert 3 shared papers
- Amirreza Shaban 3 shared papers
- Arun Venkatraman 3 shared papers
- Dieter Fox 3 shared papers
- Geoffrey Gordon 3 shared papers
- Siddarth Srinivasan 3 shared papers
- Balakumar Sundaralingam 2 shared papers
- Carlton Downey 2 shared papers
- Joris Gu\'erin 2 shared papers
- Sajid M. Siddiqi 2 shared papers
- Siddhartha Srinivasa 2 shared papers