Efficient model learning methods for actor-critic control

Accelerating reinforcement learning on a robot by using subgoals in a hierarchical framework

Actor-critic control with reference model learning

The Effect of Large Disturbances on On-Line Reinforcement Learning for a Walking Robot

Control Delay in Reinforcement Learning for Real-Time Dynamic Systems: A Memoryless Approach

The Design of LEO: a 2D Bipedal Walking Robot for Online Autonomous Reinforcement Learning