Bo Liu
Orcid: 0000-0003-2519-6196Affiliations:
- Auburn University, AL, USA
- University of Massachusetts, Amherst, MA, USA (former)
According to our database1,
Bo Liu
authored at least 56 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
IEEE Trans. Mob. Comput., December, 2024
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
J. Simulation, 2022
TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence.
CoRR, 2022
Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers, 2022
2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
Ensemble single image deraining network via progressive structural boosting constraints.
Signal Process. Image Commun., 2021
CoRR, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Neural Networks Learn. Syst., 2019
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming.
Proceedings of the Proceedings 35th International Conference on Logic Programming (Technical Communications), 2019
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.
J. Artif. Intell. Res., 2018
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.
Proceedings of the Genetic Programming Theory and Practice XVI, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering.
J. Comput. Sci. Technol., 2017
2016
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Clinical Natural Language Processing Workshop, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Computational Sustainability, 2015
2014
ACM Trans. Embed. Comput. Syst., 2014
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.
CoRR, 2014
2013
Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2013
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function.
Neural Process. Lett., 2013
Neural Comput. Appl., 2013
Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks.
Neural Comput. Appl., 2013
Commun. Nonlinear Sci. Numer. Simul., 2013
2012
Sensors, 2012
Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration.
Sensors, 2012
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks.
Neurocomputing, 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010
A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010