Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Reinforcement Learning in Continuous Time and Space
Neural Computation
Puppet Master: designing reactive character behavior by demonstration
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Targets-Drives-Means: A declarative approach to dynamic behavior specification with higher usability
Robotics and Autonomous Systems
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This paper describes a novel methodology for behavior learning of an agent, called "Coaching". This is an interactive learning method which allows a human trainer to give a subjective evaluation to the robotic agent in real time. and the agent can update the reward function dynamically based on the evaluation. We demonstrated that the agent is capable of learning the desired behavior by being given simple and subjective instruction such as "good and bad", The proposed approach is also effective when it is difficult to determine a suitable reward function for the learning situation in advance.