Mean-field theory for batched TD (&lgr;)
Neural Computation
Module-Based Reinforcement Learning: Experiments with a Real Robot
Machine Learning - Special issue on learning in autonomous robots
Convergence analysis of temporal-difference learning algorithms with linear function approximation
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Module-Based Reinforcement Learning: Experiments with a Real Robot
Autonomous Robots
The Relations Among Potentials, Perturbation Analysis,and Markov Decision Processes
Discrete Event Dynamic Systems
Embedding a Priori Knowledge in Reinforcement Learning
Journal of Intelligent and Robotic Systems
Kernel-Based Reinforcement Learning
Machine Learning
Near-Optimal Reinforcement Learning in Polynomial Time
Machine Learning
Artificial Intelligence Review
Module Based Reinforcement Learning: An Application to a Real Robot
EWLR-6 Proceedings of the 6th European Workshop on Learning Robots
On the Asymptotic Behaviour of a Constant Stepsize Temporal-Difference Learning Algorithm
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Piecewise linear value function approximation for factored MDPs
Eighteenth national conference on Artificial intelligence
Efficient max-norm distance computation and reliable voxelization
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Interpolation-based Q-learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Counter example for Q-bucket-brigade under prediction problem
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Finite time bounds for sampling based fitted value iteration
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains
Journal of Intelligent and Robotic Systems
On the relationship between MDPs and the BDI architecture
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Mathematics of Operations Research
Performance Loss Bounds for Approximate Value Iteration with State Aggregation
Mathematics of Operations Research
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning
Artificial Intelligence
Continuous State Dynamic Programming via Nonexpansive Approximation
Computational Economics
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Brief paper: Policy iteration based feedback control
Automatica (Journal of IFAC)
Water reservoir control under economic, social and environmental constraints
Automatica (Journal of IFAC)
An analysis of reinforcement learning with function approximation
Proceedings of the 25th international conference on Machine learning
Finite-Time Bounds for Fitted Value Iteration
The Journal of Machine Learning Research
Model-Based Reinforcement Learning in a Complex Domain
RoboCup 2007: Robot Soccer World Cup XI
Practical solution techniques for first-order MDPs
Artificial Intelligence
Approximate dynamic programming: lessons from the field
Proceedings of the 40th Conference on Winter Simulation
Reinforcement Learning: A Tutorial Survey and Recent Advances
INFORMS Journal on Computing
The optimizing-simulator: An illustration using the military airlift problem
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Nonapproximability results for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Efficient solution algorithms for factored MDPs
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Monte Carlo sampling methods for approximating interactive POMDPs
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Computing factored value functions for policies in structured MDPs
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Max-norm projections for factored MDPs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Solving factored MDPs via non-homogeneous partitioning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
RL-Based Memory Controller for Scalable Autonomous Systems
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Architecture of behavior-based and robotics self-optimizing memory controller
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Constructing action set from basis functions for reinforcement learning of robot control
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
On the evolution of artificial Tetris players
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Probability in the Engineering and Informational Sciences
Q-learning with linear function approximation
COLT'07 Proceedings of the 20th annual conference on Learning theory
Computing and using lower and upper bounds for action elimination in MDP planning
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
Approximate dynamic programming with a fuzzy parameterization
Automatica (Journal of IFAC)
Coordinated learning in multiagent MDPs with infinite state-space
Autonomous Agents and Multi-Agent Systems
Model minimization in Markov decision processes
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
EA'09 Proceedings of the 9th international conference on Artificial evolution
Social conformity and its convergence for reinforcement learning
MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
Continuous-state reinforcement learning with fuzzy approximation
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Cost-based query answering in action probabilistic logic programs
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Correlated action effects in decision theoretic regression
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Kernel-Based reinforcement learning
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Minimax search and reinforcement learning for adversarial tetris
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming
Mathematics of Operations Research
Event-learning and robust policy heuristics
Cognitive Systems Research
Reducing the learning time of tetris in evolution strategies
EA'11 Proceedings of the 10th international conference on Artificial Evolution
DCOB: Action space for reinforcement learning of high DoF robots
Autonomous Robots
Parallel Abductive Query Answering in Probabilistic Logic Programs
ACM Transactions on Computational Logic (TOCL)
Policy oscillation is overshooting
Neural Networks
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