Backprop KF: Learning Discriminative Deterministic State Estimators
Comments NIPS 2016
作者
Pieter Abbeel
Robotics
Mutual Alignment Transfer Learning
Deep Object-Centric Representations for Generalizable Robot Learning
One-Shot Visual Imitation Learning via Meta-Learning
Comments Conference on Robot Learning, 2017 (to appear). First two authors contributed equally. Video available at https://sites.google.com/view/one-shot-imitation
Reinforcement Learning with Deep Energy-Based Policies
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Comments ICML 2017. Code at https://github.com/cbfinn/maml, Videos of RL results at https://sites.google.com/view/maml, Blog post at http://bair.berkeley.edu/blog/2017/07/18/learning-to-learn/
Prediction and Control with Temporal Segment Models
Comments camera-ready version, ICML 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Comments ICLR 2017
Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols
Comments Submitted to Robotics and Automation Magazine (RAM) Special Issue on Replicable and Measurable Robotics Research. 35 Pages
Journal ref IEEE Robotics & Automation Magazine, 22 (2015) 36 - 52
The Off-Switch Game
Constrained Policy Optimization
Comments Accepted to ICML 2017
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Probabilistically Safe Policy Transfer
Inverse Reinforcement Learning via Deep Gaussian Process
Trust Region Policy Optimization
Comments 16 pages, ICML 2015
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Comments Published as a conference paper at ICLR 2017
Journal ref International Conference on Learning Representations 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Comments 8 pages, 7 figures. Submitted to 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Learning from the Hindsight Plan -- Episodic MPC Improvement
Comments Additional experiments for neural network generalization and for varying the planning horizon. Paper accepted to ICRA 2017
Value Iteration Networks
Comments Fixed missing table values
Journal ref Advances in Neural Information Processing Systems 29 pages 2154--2162, 2016
Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
Comments Accepted at International Conference on Intelligent Robots and Systems(IROS) 2016. Pdf file updated for stylistic consistency
Generalizing Skills with Semi-Supervised Reinforcement Learning
Comments ICLR 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Comments Published as a conference paper at ICLR 2017
Deep Reinforcement Learning for Tensegrity Robot Locomotion
Comments International Conference on Robotics and Automation (ICRA), 2017. Project website link is http://rll.berkeley.edu/drl_tensegrity
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Comments 8 pages, accepted to International Conference on Robotics and Automation (ICRA) 2017
Variational Lossy Autoencoder
Comments Added CIFAR10 experiments; ICLR 2017
PLATO: Policy Learning using Adaptive Trajectory Optimization
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Journal ref NIPS 2016
Adversarial Attacks on Neural Network Policies
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
VIME: Variational Information Maximizing Exploration
Comments Published in Advances in Neural Information Processing Systems 29 (NIPS), pages 1109-1117
