NDLI: 2007 IEEE ADPRL International Program Committee Members

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2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning

ADPRL 2007 Organization

2007 IEEE ADPRL International Program Committee Members

Fitted Q Iteration with CMACs

Reinforcement-Learning-based Magneto-hydrodynamic Control of Hypersonic Flows

A Novel Fuzzy Reinforcement Learning Approach in Two-Level Intelligent Control of 3-DOF Robot Manipulators

Knowledge Transfer Using Local Features

Particle Swarn Optimized Adaptive Dynamic Programming

Discrete-time nonlinear HJB solution using Approximate dynamic programming: Convergence Proof

Dual Representations for Dynamic Programming and Reinforcement Learning

An Optimal ADP Algorithm for a High-Dimensional Stochastic Control Problem

Convergence of Model-Based Temporal Difference Learning for Control

On a Successful Application of Multi-Agent Reinforcement Learning to Operations Research Benchmarks

The Effect of Bootstrapping in Multi-Automata Reinforcement Learning

A Theoretical Analysis of Cooperative Behavior in Multi-agent Q-learning

Hybrid Ant Colony Optimization Using Memetic Algorithm for Traveling Salesman Problem

Robust Dynamic Programming for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Transition Matrice

Model-Based Reinforcement Learning in Factored-State MDPs

Leader-Follower semi-Markov Decision Problems: Theoretical Framework and Approximate Solution

A Scalable Model-Free Recurrent Neural Network Framework for Solving POMDPs

Reinforcement learning by backpropagation through an LSTM model/critic

Discrete-Time Adaptive Dynamic Programming using Wavelet Basis Function Neural Networks

The Knowledge Gradient Policy for Offline Learning with Independent Normal Rewards

A Recurrent Control Neural Network for Data Efficient Reinforcement Learning

Computing Optimal Stationary Policies for Multi-Objective Markov Decision Processes

Strategy Generation with Cognitive Distance in Two-Player Games

Identifying trajectory classes in dynamic tasks

A Dynamic Programming Approach to Viability Problems

Randomly Sampling Actions In Dynamic Programming

SVM Viability Controller Active Learning: Application to Bike Control

An Approximate Dynamic Programming Approach for Job Releasing and Sequencing in a Reentrant Manufacturing Line

Using ADP to Understand and Replicate Brain Intelligence: the Next Level Design

Opposition-Based Reinforcement Learning in the Management of Water Resources

Online Reinforcement Learning Neural Network Controller Design for Nanomanipulation

Short-term Stock Market Timing Prediction under Reinforcement Learning Schemes

Dynamic optimization of the strength ratio during a terrestrial conflict

Continuous-Time ADP for Linear Systems with Partially Unknown Dynamics

Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark

Using Reward-weighted Regression for Reinforcement Learning of Task Space Control

Toward effective combination of off-line and on-line training in ADP framework

Reinforcement Learning in Continuous Action Spaces

Two Novel On-policy Reinforcement Learning Algorithms based on TD(λ)-methods

Opposition-Based Q(λ) with Non-Markovian Update

Coordinated Reinforcement Learning for Decentralized Optimal Control

An Approximate Dynamic Programming Strategy for Responsive Traffic Signal Control

DHP Adaptive Critic Motion Control of Autonomous Wheeled Mobile Robot

Approximate Optimal Control-Based Neurocontroller with a State Observation System for Seedlings Growth in Greenhouse

Efficient Learning in Cellular Simultaneous Recurrent Neural Networks - The Case of Maze Navigation Problem

Value-Iteration Based Fitted Policy Iteration: Learning with a Single Trajectory

Kernelizing LSPE(λ)

Q-Learning with Continuous State Spaces and Finite Decision Set

Sparse Temporal Difference Learning Using LASSO

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