37 records found
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Optimistic planning for continuous-action deterministic systems
Model Learning Actor-Critic Algorithms: Performance Evaluation in a Motion Control Task
A survey of actor-critic reinforcement learning: standard and natural policy gradients
Imitation Learning with Non-Parametric Regression
Efficient model learning methods for actor-critic control
Least-Squares Methodes for Policy Iteration
Experience replay for real-time reinforcement learning control
Cross-entropy optimization of control policies with adaptive basis functions
Actor-critic control with reference model learning
Approximate reinforcement learning: An Overview
Efficient knowledge transfer in shaping reinforcement learning
Optimistic planning for sparsely stochastic systems
Online least-squares policy iteration for reinforcement learning control
Control Delay in Reinforcement Learning for Real-Time Dynamic Systems: A Memoryless Approach
Reinforcement Learning and Dynamic Programming Using Function Approximators
Approximate dynamic programming with a fuzzy parameterization
Approximate Dynamic Programming and Reinforcement Learning
Using prior knowledge to accelerate online least-squares policy iteration
Exploiting policy knowledge in online least-squares policy iteration: An empirical study
Multi-agent reinforcement learning: An overview
