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List of works by Pieter Abbeel

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

scientific article published in January 2017

A Geometric Approach to Robotic Laundry Folding1

A Survey of Research on Cloud Robotics and Automation

A biological micro actuator: graded and closed-loop control of insect leg motion by electrical stimulation of muscles

scientific article

A geometric approach to robotic laundry folding

A robot path planning framework that learns from experience

article published in 2012

A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery

Active exploration using trajectory optimization for robotic grasping in the presence of occlusions

Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs

An Application of Reinforcement Learning to Aerobatic Helicopter Flight

scientific article published in January 2007

An algorithm for computing customized 3D printed implants with curvature constrained channels for enhancing intracavitary brachytherapy radiation delivery

scholarly article published August 2013

Apprenticeship learning via inverse reinforcement learning

Automatic Curriculum Learning through Value Disagreement

Autonomous multilateral debridement with the Raven surgical robot

AvE: Assistance via Empowerment

scientific article published in November 2020

Backprop KF: Learning Discriminative Deterministic State Estimators

scientific article published in January 2016

Combinatorial Energy Learning for Image Segmentation

scientific article published in January 2016

Compositional Plan Vectors

scientific article published in January 2019

Compression with Flows via Local Bits-Back Coding

Cooperative Inverse Reinforcement Learning

scientific article published in January 2016

Deciphering the role of a coleopteran steering muscle via free flight stimulation

scientific article published on March 2015

Denoising Diffusion Probabilistic Models

scientific article published in November 2020

End-to-End Training of Deep Visuomotor Policies

scientific article published in 2016

Evaluating Protein Transfer Learning with TAPE

scientific article published in January 2019

Evolved Policy Gradients

GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming

Gaussian belief space planning with discontinuities in sensing domains

Generalized Hindsight for Reinforcement Learning

scholarly article by Alexander Li et al published November 2020 in Advances in Neural Information Processing Systems 33

Geometry-Aware Neural Rendering

Goal-conditioned Imitation Learning

scientific article published in January 2019

Gradient Estimation Using Stochastic Computation Graphs

Gravity-Based Robotic Cloth Folding

scholarly article by Jur van den Berg et al published 2010 in Springer tracts in advanced robotics

Guided Meta-Policy Search

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion

scientific article published in January 2008

Hindsight Experience Replay

scientific article published in January 2017

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

scientific article published in January 2016

Insect-machine hybrid system

scientific article published in January 2013

Inverse Reward Design

scientific article published in January 2017

LQG-Based Planning, Sensing, and Control of Steerable Needles

article published in 2010

LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics

scientific article published in January 2014

Learning Plannable Representations with Causal InfoGAN

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression

Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms

Learning first-order Markov models for control

Learning to Poke by Poking: Experiential Learning of Intuitive Physics

scientific article published in January 2016

Learning vehicular dynamics, with application to modeling helicopters

scientific article published in January 2006

Link Prediction in Relational Data

scientific article published in January 2004

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

Managing extreme AI risks amid rapid progress

scientific article published on 24 May 2024

Max-margin classification of incomplete data

scientific article published in January 2007

Meta-Reinforcement Learning of Structured Exploration Strategies

scholarly article by Abhishek Gupta et al published 2018 in Advances in Neural Information Processing Systems 31

Motion planning with sequential convex optimization and convex collision checking

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

scientific article published in January 2017

Multi-armed bandit models for 2D grasp planning with uncertainty

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient

scientific article published in January 2010

On the Utility of Learning about Humans for Human-AI Coordination

One-Shot Imitation Learning

scientific article published in January 2017

Planning Curvature and Torsion Constrained Ribbons in 3D With Application to Intracavitary Brachytherapy

article by Sachin Patil et al published October 2015 in IEEE Transactions on Automation Science and Engineering

Planning Curvature and Torsion Constrained Ribbons in 3D with Application to Intracavitary Brachytherapy

article by Sachin Patil et al published 2015 in Springer tracts in advanced robotics

Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization

scholarly article published May 2014

Reinforcement Learning with Augmented Data

scientific article published in November 2020

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds

scientific article published in January 2012

Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles

Sparse Graphical Memory for Robust Planning

scientific article published in November 2020

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

scientific article published in November 2020

Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations

The Importance of Sampling in Meta-Reinforcement Learning

scholarly article by Bradly Stadie et al published 2018 in Advances in Neural Information Processing Systems 31

The Off-Switch Game

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

scientific article published in November 2020

VIME: Variational Information Maximizing Exploration

scientific article published in January 2016

Value Iteration Networks

scholarly article