George Dimitri Konidaris

According to our database1, George Dimitri Konidaris authored at least 85 papers between 2004 and 2020.

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Bibliography

2020
Deep RBF Value Functions for Continuous Control.
CoRR, 2020

Exploration in Reinforcement Learning with Deep Covering Options.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Modeling and Planning with Macro-Actions in Decentralized POMDPs.
J. Artif. Intell. Res., 2019

Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays.
I. J. Robotics Res., 2019

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.
CoRR, 2019

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms.
CoRR, 2019

Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors.
CoRR, 2019

Learning Portable Representations for High-Level Planning.
CoRR, 2019

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces.
CoRR, 2019

Grounding Language Attributes to Objects using Bayesian Eigenobjects.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Bounded-Error LQR-Trees.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

End-User Robot Programming Using Mixed Reality.
Proceedings of the International Conference on Robotics and Automation, 2019

Scanning the Internet for ROS: A View of Security in Robotics Research.
Proceedings of the International Conference on Robotics and Automation, 2019

Discovering Options for Exploration by Minimizing Cover Time.
Proceedings of the 36th International Conference on Machine Learning, 2019

Finding Options that Minimize Planning Time.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Multi-Level Hierarchies with Hindsight.
Proceedings of the 7th International Conference on Learning Representations, 2019

Removing the Target Network from Deep Q-Networks with the Mellowmax Operator.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Programmable Architecture for Robot Motion Planning Acceleration.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning.
J. Artif. Intell. Res., 2018

Finding Options that Minimize Planning Time.
CoRR, 2018

Representing, learning, and controlling complex object interactions.
Auton. Robots, 2018

Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Symbolic Representations for Planning with Parameterized Skills.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Policy and Value Transfer in Lifelong Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Mean Actor Critic.
CoRR, 2017

Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception.
Proceedings of the Robotics: Science and Systems XIII, 2017

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Active Exploration for Learning Symbolic Representations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

An Analysis of Monte Carlo Tree Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14).
NII Shonan Meet. Rep., 2016

Policy search for multi-robot coordination under uncertainty.
I. J. Robotics Res., 2016

Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes.
CoRR, 2016

Representing and Learning Complex Object Interactions.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Robot Motion Planning on a Chip.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

The microarchitecture of a real-time robot motion planning accelerator.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Constructing Abstraction Hierarchies Using a Skill-Symbol Loop.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Reinforcement Learning with Parameterized Actions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Regularized feature selection in reinforcement learning.
Mach. Learn., 2015

Learning grounded finite-state representations from unstructured demonstrations.
I. J. Robotics Res., 2015

Reinforcement Learning with Parameterized Actions.
CoRR, 2015

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence.
AI Magazine, 2015

Reports of the AAAI 2014 Conference Workshops.
AI Magazine, 2015

Policy Evaluation Using the Ω-Return.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Symbol Acquisition for Probabilistic High-Level Planning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Planning for decentralized control of multiple robots under uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Probabilistic Planning for Decentralized Multi-Robot Systems.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
Learning parameterized motor skills on a humanoid robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Active Learning of Parameterized Skills.
Proceedings of the 31th International Conference on Machine Learning, 2014

Planning with macro-actions in decentralized POMDPs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

Constructing Symbolic Representations for High-Level Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Optimizing a Start-Stop Controller Using Policy Search.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Reports of the 2013 AAAI Spring Symposium Series.
AI Magazine, 2013

The AAAI-13 Conference Workshops.
AI Magazine, 2013

Robots, skills, and symbols.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Optimal sampling-based planning for linear-quadratic kinodynamic systems.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Symbol Acquisition for Task-Level Planning.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

Behavioral Hierarchy: Exploration and Representation.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012
Transfer in Reinforcement Learning via Shared Features.
J. Mach. Learn. Res., 2012

Robot learning from demonstration by constructing skill trees.
I. J. Robotics Res., 2012

Reports of the AAAI 2012 Spring Symposia.
AI Magazine, 2012

Learning and generalization of complex tasks from unstructured demonstrations.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning Parameterized Skills.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Value Function Approximation in Reinforcement Learning Using the Fourier Basis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Autonomous Skill Acquisition on a Mobile Manipulator.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Efficient Skill Learning using Abstraction Selection.
Proceedings of the IJCAI 2009, 2009

2008
Autonomous Robot Skill Acquisition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A forward model of optic flow for detecting external forces.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Building Portable Options: Skill Transfer in Reinforcement Learning.
Proceedings of the IJCAI 2007, 2007

2006
Language performance at high school and success in first year computer science.
Proceedings of the 39th SIGCSE Technical Symposium on Computer Science Education, 2006

An Adaptive Robot Motivational System.
Proceedings of the From Animals to Animats 9, 2006

Autonomous shaping: knowledge transfer in reinforcement learning.
Proceedings of the Machine Learning, 2006

2005
An Architecture for Behavior-Based Reinforcement Learning.
Adaptive Behaviour, 2005

METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

2004
HydroGen: Automatically Generating Self-Assembly Code for Hydron Units.
Proceedings of the Distributed Autonomous Robotic Systems 6, 2004


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