Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Robot Learning From Demonstration
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Natural methods for robot task learning: instructive demonstrations, generalization and practice
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Apprenticeship learning via inverse reinforcement learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Efficient model learning for dialog management
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Multi-thresholded approach to demonstration selection for interactive robot learning
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Teaching multi-robot coordination using demonstration of communication and state sharing
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
A survey of robot learning from demonstration
Robotics and Autonomous Systems
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Interactively shaping agents via human reinforcement: the TAMER framework
Proceedings of the fifth international conference on Knowledge capture
Smoothed Sarsa: reinforcement learning for robot delivery tasks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Dynamic reward shaping: training a robot by voice
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Improved human-robot team performance using chaski, a human-inspired plan execution system
Proceedings of the 6th international conference on Human-robot interaction
Real-world reinforcement learning for autonomous humanoid robot charging in a home environment
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Reinforcement learning from simultaneous human and MDP reward
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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We design and evaluate human-robot cross-training, a strategy widely used and validated for effective human team training. Cross-training is an interactive planning method in which a human and a robot iteratively switch roles to learn a shared plan for a collaborative task. We first present a computational formulation of the robot's interrole knowledge and show that it is quantitatively comparable to the human mental model. Based on this encoding, we formulate human-robot cross-training and evaluate it in human subject experiments (n = 36). We compare human-robot cross-training to standard reinforcement learning techniques, and show that cross-training provides statistically significant improvements in quantitative team performance measures. Additionally, significant differences emerge in the perceived robot performance and human trust. These results support the hypothesis that effective and fluent human-robot teaming may be best achieved by modeling effective practices for human teamwork.