NDLI: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

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2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

Table of contents

Symposium on adaptive dynamic programming and reinforcement learning (IEEE ADPRL 2011)

Higher-level application of Adaptive Dynamic Programming/Reinforcement Learning - a next phase for controls and system identification?

Approximate reinforcement learning: An overview

Parametric value function approximation: A unified view

On learning with imperfect representations

Active exploration for robot parameter selection in episodic reinforcement learning

Active learning for personalizing treatment

Active exploration by searching for experiments that falsify the computed control policy

Optimistic planning for sparsely stochastic systems

Adaptive sample collection using active learning for kernel-based approximate policy iteration

Tree-based variable selection for dimensionality reduction of large-scale control systems

High-order local dynamic programming

Safe reinforcement learning in high-risk tasks through policy improvement

Agent self-assessment: Determining policy quality without execution

Reinforcement learning algorithms for solving classification problems

Reinforcement learning in multidimensional continuous action spaces

Grounding subgoals in information transitions

Directed exploration of policy space using support vector classifiers

Protecting against evaluation overfitting in empirical reinforcement learning

Higher order Q-Learning

Adaptive action definition in continuous reinforcement learning

Bayesian active learning with basis functions

Evolutionary value function approximation

Enhancing the episodic natural actor-critic algorithm by a regularisation term to stabilize learning of control structures

Application of reinforcement learning-based algorithms in CO2 allowance and electricity markets

Model-building semi-Markov adaptive critics

Dynamic lead time promising

N-step optimal time-invariant trajectory tracking control for a class of nonlinear systems

Data-based adaptive critic design for discrete-time zero-sum games using output feedback

Global optimal strategies of a class of finite-horizon continuous-time nonaffine nonlinear zero-sum game using a new iteration algorithm

Path integral control and bounded rationality

Adaptive dynamic programming with balanced weights seeking strategy

Moving least-squares approximations for linearly-solvable MDP

Taxi-out time analysis using approximate dynamic programming

Near optimal control of mobile robot formations

Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems

Online adaptive learning of optimal control solutions using integral reinforcement learning

Online near optimal control of unknown nonaffine systems with application to HCCI engines

Policy gradient methods with model predictive control applied to ball bouncing

An approximate Dynamic Programming based controller for an underactuated 6DoF quadrotor

Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark

Fitted policy search

A reinforcement learning approach for sequential mastery testing

Information space receding horizon control

Feedback controller parameterizations for Reinforcement Learning

Supervised adaptive dynamic programming based adaptive cruise control

An adaptive-learning framework for semi-cooperative multi-agent coordination

Structure search of probabilistic models and data correction for EDA-RL

Complex object manipulation with hierarchical optimal control

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

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