Veloso, Manuela

A survey of robot learning from demonstration

Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009) · Robotics and Autonomous Systems

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 3,227

Multiagent systems: A survey from a machine learning perspective

Stone, P., & Veloso, M. (2000) · Autonomous Robots

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 1,218

The grand challenges of Science Robotics

Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics

Robotics and Automated SystemsSoft Robotics and Applications

Cited by 1,177

SPIRAL: Code Generation for DSP Transforms

Puschel, M., Moura, J. M. F., Johnson, J. R., Padua, D., Veloso, M. M., Singer, B. W., Xiong, J., Franchetti, F., Gacic, A., Voronenko, Y., et al. (2005) · Proceedings of the IEEE

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 826

Conditional random fields for activity recognition

Vail, D. L., Veloso, M. M., & Lafferty, J. D. (2007) · Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

Context-Aware Activity Recognition SystemsBayesian Modeling and Causal Inference

Cited by 357

Logical and Relational Learning

Gabbay, D. M., Wooldridge, M. J., Wahlster, W., Veloso, M., Uszkoreit, H., Siekmann, J., Raedt, L. D., Pinkal, M., Carbonell, J. G., & Bundy, A. (2008) · Cognitive Technologies

Bayesian Modeling and Causal InferenceMachine Learning and Algorithms

Cited by 233

Team-partitioned, opaque-transition reinforcement learning

Stone, P., & Veloso, M. (1999) · Proceedings of the third annual conference on Autonomous Agents

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 114

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Guss, W. H., Houghton, B., Topin, N., Wang, P., Codel, C., Veloso, M., & Salakhutdinov, R. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 94

Is Someone in this Office Available to Help Me?: Proactively Seeking Help from Spatially-Situated Humans

Rosenthal, S., Veloso, M., & Dey, A. K. (2012) · Journal of Intelligent & Robotic Systems

Social Robot Interaction and HRIRobotics and Automated Systems

Cited by 60

Beyond the Turing Test

Marcus, G., Rossi, F., & Veloso, M. (2016) · AI Magazine

Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 48

The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors

Guss, W. H., Codel, C., Hofmann, K., Houghton, B., Kuno, N., Milani, S., Mohanty, S., Liebana, D. P., Salakhutdinov, R., Topin, N., et al. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 46

A Survey of Explainable Reinforcement Learning

Milani, S., Topin, N., Veloso, M., & Fang, F. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Reinforcement Learning in Robotics

Cited by 30

Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty

Vadori, N., Ganesh, S., Reddy, P., & Veloso, M. (2020) · Proceedings of the First ACM International Conference on AI in Finance

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 25

Plan execution monitoring through detection of unmet expectations about action outcomes

Mendoza, J. P., Veloso, M., & Simmons, R. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 18

XSkill: Cross embodiment skill discovery

Xu, M., Xu, Z., Chi, C., Veloso, M., & Song, S. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 11