T. Degris

发表

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Patrick M. Pilarski, Doina Precup, Richard S. Sutton, 2011, AAMAS.

Deterministic Policy Gradient Algorithms

Guy Lever, Martin A. Riedmiller, David Silver, 2014, ICML.

Linear Off-Policy Actor-Critic pdf

Martha White, Richard S. Sutton, Thomas Degris, 2012, ICML.

Model-Free reinforcement learning with continuous action in practice

Patrick M. Pilarski, Richard S. Sutton, Thomas Degris, 2012, 2012 American Control Conference (ACC).

Vector-based navigation using grid-like representations in artificial agents

Razvan Pascanu, Raia Hadsell, Fabio Viola, 2018, Nature.

Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning

Farbod Fahimi, Patrick M. Pilarski, Richard S. Sutton, 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

Adaptive artificial limbs: a real-time approach to prediction and anticipation

Patrick M. Pilarski, Richard S. Sutton, Thomas Degris, 2013, IEEE Robotics & Automation Magazine.

Learning the structure of Factored Markov Decision Processes in reinforcement learning problems

Olivier Sigaud, Thomas Degris, Pierre-Henri Wuillemin, 2006, ICML.

Scaling-up Knowledge for a Cognizant Robot

Thomas Degris, Joseph Modayil, Joseph Modayil, 2012, AAAI Spring Symposium: Designing Intelligent Robots.

A spiking neuron model of head-direction cells for robot orientation

Angelo Arleo, Christian Boucheny, Thomas Degris, 2004 .

Off-Policy Knowledge Maintenance for Robots

R. Sutton, Joseph Modayil, T. Degris, 2010 .

Opening remarks 9 : 15-9 : 45 Active Sequential Estimation of Object Dynamics with Tactile Sensory Feedback -

R. Sutton, T. Degris, P. Pilarski, 2010 .

Prediction and Anticipation for Adaptive Artificial Limbs

Patrick M. Pilarski, Richard S. Sutton, Thomas Degris, 2012 .

Meta-descent for Online, Continual Prediction pdf

Martha White, Adam White, Thomas Degris, 2019, AAAI.

Chi-square Tests Driven Method for Learning the Structure of Factored MDPs pdf

Olivier Sigaud, Thomas Degris, Pierre-Henri Wuillemin, 2006, UAI.

Rapid response of head direction cells to reorienting visual cues: a computational model

Angelo Arleo, Olivier Sigaud, Thomas Degris, 2004, Neurocomputing.

Linear Off-Policy Actor-Critic

Martha White, Richard S. Sutton, Thomas Degris, 2012, ICML.

Tuning-free step-size adaptation

Patrick M. Pilarski, Richard S. Sutton, Thomas Degris, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Reinforcement Learning in Large Discrete Action Spaces

Richard Evans, Peter Sunehag, Timothy A. Mann, 2015, 1512.07679.

The Predictron: End-To-End Learning and Planning pdf

Tom Schaul, David Silver, Matteo Hessel, 2016, ICML.

Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study

Adam White, Martha White, Thomas Degris, 2020, J. Artif. Intell. Res..

Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study pdf

Martha White, Adam White, Thomas Degris, 2019, ArXiv.

Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots

R. S. Sutton, J. P. Carey, P. M. Pilarski, 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

Model-Free reinforcement learning with continuous action in practice

R. Sutton, T. Degris, P. Pilarski, 2012, American Control Conference.

Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning

M. R. Dawson, R. Sutton, T. Degris, 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

Vector-based navigation using grid-like representations in artificial agents

Neil C. Rabinowitz, T. Lillicrap, K. Kavukcuoglu, 2018, Nature.