37 records found
1
Optimistic planning for continuous-action deterministic systems
Experience replay for real-time reinforcement learning control
Imitation Learning with Non-Parametric Regression
A survey of actor-critic reinforcement learning: standard and natural policy gradients
Efficient model learning methods for actor-critic control
Least-Squares Methodes for Policy Iteration
Model Learning Actor-Critic Algorithms: Performance Evaluation in a Motion Control Task
Cross-entropy optimization of control policies with adaptive basis functions
Actor-critic control with reference model learning
Optimistic planning for sparsely stochastic systems
Approximate reinforcement learning: An Overview
Efficient knowledge transfer in shaping reinforcement learning
Approximate Dynamic Programming and Reinforcement Learning
Approximate dynamic programming with a fuzzy parameterization
Multi-agent reinforcement learning: An overview
Reinforcement Learning and Dynamic Programming Using Function Approximators
Control Delay in Reinforcement Learning for Real-Time Dynamic Systems: A Memoryless Approach
Exploiting policy knowledge in online least-squares policy iteration: An empirical study
Online least-squares policy iteration for reinforcement learning control
Using prior knowledge to accelerate online least-squares policy iteration
