Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
ML92 Proceedings of the ninth international workshop on Machine learning
Temporal difference learning and TD-Gammon
Communications of the ACM
Robot programming by demonstration (RPD): supporting the induction by human interaction
Machine Learning - Special issue on robot learning
Animation control for real-time virtual humans
Communications of the ACM
A social reinforcement learning agent
Proceedings of the fifth international conference on Autonomous agents
It knows what you're going to do: adding anticipation to a Quakebot
Proceedings of the fifth international conference on Autonomous agents
Learning procedural knowledge through observation
Proceedings of the 1st international conference on Knowledge capture
Machine Learning
Learning domain knowledge for teaching procedural skills
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Getting Humanoids to Move and Imitate
IEEE Intelligent Systems
Creating Interactive Virtual Humans: Some Assembly Required
IEEE Intelligent Systems
PEGASUS: A policy search method for large MDPs and POMDPs
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
A framework for learning from demonstration, generalization and practice in human-robot domains
A framework for learning from demonstration, generalization and practice in human-robot domains
Fast multi-level adaptation for interactive autonomous characters
ACM Transactions on Graphics (TOG)
Evaluating a Computational Model of Emotion
Autonomous Agents and Multi-Agent Systems
Prioritization Methods for Accelerating MDP Solvers
The Journal of Machine Learning Research
Enhancing computer graphics through machine learning: a survey
The Visual Computer: International Journal of Computer Graphics
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Puppet Master: designing reactive character behavior by demonstration
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Style by demonstration: teaching interactive movement style to robots
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Learning from demonstration with swarm hierarchies
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Design and evaluation techniques for authoring interactive and stylistic behaviors
ACM Transactions on Interactive Intelligent Systems (TiiS)
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
User-centered programming by demonstration: stylistic elements of behavior
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. This is important for applications (e.g., games, simulators, interactive displays) where an agent must behave in a manner that appears human-like. We present a novel technique for learning reactive policies that mimic demonstrated human behavior. The user demonstrates the desired behavior by dictating the agent's actions during an interactive animation. Later, when the agent is to behave autonomously, the recorded data is generalized to form a continuous state-to-action mapping. Combined with an appropriate animation algorithm (e.g., motion capture), the learned policies realize stylized and natural-looking agent behavior. We empirically demonstrate the efficacy of our technique for quickly producing policies which result in lifelike virtual agent behavior.