Bram Bakker

发表

Wolfram Burgard, Olivier Buffet, Christian Balkenius, 2007, IJCAI.

Utile Coordination: Learning Interdependencies Among Cooperative Agents

Nikos A. Vlassis, Jelle R. Kok, Pieter Jan't Hoen, 2005, CIG.

Hierarchical map building and planning based on graph partitioning

Ben J. A. Kröse, Zoran Zivkovic, Bram Bakker, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Quasi-online reinforcement learning for robots

Jürgen Schmidhuber, Gabriel Gruener, Bram Bakker, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Cooperative multi-agent reinforcement learning of traffic lights

E.H.J. Nijhuis, L.J.H.M. Kester, Bram Bakker, 2005 .

DOAS 2006 PROJECT: REINFORCEMENT LEARNING OF TRAFFIC LIGHT CONTROLLERS ADAPTING TO ACCIDENTS

Bram Bakker, Leon Kester, 2006 .

Hierarchical reinforcement learning with subpolicies specializing for learned subgoals

Jürgen Schmidhuber, Bram Bakker, J. Schmidhuber, 2004, Neural Networks and Computational Intelligence.

Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs

Shimon Whiteson, Nikos A. Vlassis, Bram Bakker, 2008, ECML/PKDD.

Reinforcement Learning of Traffic Light Controllers Adapting to Traffic Congestion

Bram Bakker, Merlijn Steingrover, Roelant Schouten, 2005, BNAIC.

Reinforcement Learning with LSTM in Non-MarkovianTasks with Long-Term

Bram Bakker, B. Bakker, 2001 .

Switching between different state representations in reinforcement learning

Harm van Seijen, Bram Bakker, Leon Kester, 2008 .

Parckr - Estimating and Forecasting Parking Occupancy Based on Floating Vehicle Data

de Jong, Eric Koenders, Bram Bakker, 2012 .

Integrating distributed Bayesian inference and reinforcement learning for sensor management

Shimon Whiteson, Gregor Pavlin, Bram Bakker, 2009, 2009 12th International Conference on Information Fusion.

Traffic Light Control by Multiagent Reinforcement Learning Systems

Shimon Whiteson, Frans C. A. Groen, Leon J. H. M. Kester, 2010, Interactive Collaborative Information Systems.

The Epsilon State Count

Bram Bakker, Michiel B. De Jong, 2000 .

Reinforcement Learning with Multiple, Qualitatively Different State Representations

Bram Bakker, Leon Kester, H. H. van Seijen, 2007 .

Reinforcement Learning with LSTM in Non-Markovian Tasks with Long-Term Dependencies

Bram Bakker, B. Bakker, 2001 .

Hierarchical map building using visual landmarks and geometric constraints

Ben J. A. Kröse, Zoran Zivkovic, Bram Bakker, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Reinforcement learning in partially observable mobile robot domains using unsupervised event extraction

Jürgen Schmidhuber, Bram Bakker, Fredrik Linåker, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Traffic flow optimization: A reinforcement learning approach

Matthijs T. J. Spaan, Bram Bakker, Erwin Walraven, 2016, Eng. Appl. Artif. Intell..

Reinforcement Learning with Long Short-Term Memory

Bram Bakker, B. Bakker, 2001, NIPS.

Hierarchical dynamic programming for robot path planning

Ben J. A. Kröse, Zoran Zivkovic, Bram Bakker, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Improving Differential Power Analysis by Elastic Alignment

Jasper G. J. van Woudenberg, Marc F. Witteman, Bram Bakker, 2011, CT-RSA.

Trading off perception with internal state: reinforcement learning and analysis of Q-Elman networks in a Markovian task

Bram Bakker, Gwendid T. van der Voort van der Kleij, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A robot that reinforcement-learns to identify and memorize important previous observations

Jürgen Schmidhuber, Gabriel Gruener, Bram Bakker, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Advantage(lambda) learning

Bram Bakker, 2002 .

A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions

Christer Ahlstrom, Anna Anund, Bram Bakker, 2021, IEEE Transactions on Intelligent Transportation Systems.

Hierarchical Assignment of Behaviours to Subpolicies

Marco Wiering, Bram Bakker, Wilco Moerman, 2008 .

Causal Relationships and Relationships between Levels: The Modes of Description Perspective

Bram Bakker, B. Bakker, P. den Dulk, 2020, Proceedings of the Twenty First Annual Conference of the Cognitive Science Society.

Reinforcement Learning Memory

Bram Bakker, 2001 .

The concept of circular causality should be discarded

Bram Bakker, 2005, Behavioral and Brain Sciences.

Project Design and Organization of Autonomous Systems : Intelligent Traffic Light Control

Bram Bakker, Roelant Schouten, Stefan Peelen, 2005 .

Hierarchical Reinforcement Learning on the Virtual Battlefield

Bram Bakker, R. Tobi, 2007 .