| Empowering BDI Agents with Generalised Decision-Making.   | AAMAS | 2024 | 0 | 
        
        
            | BDI Agents in Natural Language Environments.   | AAMAS | 2024 | 0 | 
        
        
            | A Survey on Model-Free Goal Recognition.   | IJCAI | 2024 | 0 | 
        
        
            | Real-Time Goal Recognition Using Approximations in Euclidean Space.   | ECAI | 2024 | 0 | 
        
        
            | Explorative Imitation Learning: A Path Signature Approach for Continuous Environments.   | ECAI | 2024 | 0 | 
        
        
            | A Practical Operational Semantics for Classical Planning in BDI Agents.   | ECAI | 2024 | 0 | 
        
        
            | Robust Neuro-Symbolic Goal and Plan Recognition.   | AAAI | 2023 | 0 | 
        
        
            | Self-Supervised Adversarial Imitation Learning.   | IJCNN | 2023 | 0 | 
        
        
            | Multi-Agent Intention Recognition and Progression.   | IJCAI | 2023 | 0 | 
        
        
            | Goal Recognition as Reinforcement Learning.   | AAAI | 2022 | 3 | 
        
        
            | A Survey on Goal Recognition as Planning.   | IJCAI | 2021 | 9 | 
        
        
            | Combining LSTMs and Symbolic Approaches for Robust Plan Recognition.   | AAMAS | 2021 | 1 | 
        
        
            | Automated Design of fMRI Paradigms.   | ICAPS | 2021 | 1 | 
        
        
            | An LP-Based Approach for Goal Recognition as Planning.   | AAAI | 2021 | 0 | 
        
        
            | Using Self-Attention LSTMs to Enhance Observations in Goal Recognition.   | IJCNN | 2020 | 1 | 
        
        
            | BDI Agent Architectures: A Survey.   | IJCAI | 2020 | 15 | 
        
        
            | Semantic Attachments for HTN Planning.   | AAAI | 2020 | 2 | 
        
        
            | LatRec: Recognizing Goals in Latent Space (Student Abstract).   | AAAI | 2020 | 1 | 
        
        
            | Augmented Behavioral Cloning from Observation.   | IJCNN | 2020 | 5 | 
        
        
            | Landmark-based approaches for goal recognition as planning.   | Artificial Intelligence | 2020 | 0 | 
        
        
            | Online Probabilistic Goal Recognition over Nominal Models.   | IJCAI | 2019 | 16 | 
        
        
            | Landmark-Enhanced Heuristics for Goal Recognition in Incomplete Domain Models.   | ICAPS | 2019 | 13 | 
        
        
            | Classification of Contractual Conflicts via Learning of Semantic Representations.   | AAMAS | 2019 | 4 | 
        
        
            | ConCon: A Contract Conflict Identifier.   | AAMAS | 2019 | 1 | 
        
        
            | A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets.   | IJCNN | 2018 | 8 | 
        
        
            | GoCo: planning expressive commitment protocols.   | Autonomous Agents and Multi-Agent Systems | 2018 | 0 | 
        
        
            | Goal Recognition in Incomplete Domain Models.   | AAAI | 2018 | 8 | 
        
        
            | An Operational Semantics for a Fragment of PRS.   | IJCAI | 2018 | 8 | 
        
        
            | Measuring Semantic Similarity Between Sentences Using A Siamese Neural Network.   | IJCNN | 2018 | 14 | 
        
        
            | Norm Conflict Identification using Vector Space Offsets.   | IJCNN | 2018 | 5 | 
        
        
            | Goal Recognition in Latent Space.   | IJCNN | 2018 | 41 | 
        
        
            | Towards Online Goal Recognition Combining Goal Mirroring and Landmarks.   | AAMAS | 2018 | 16 | 
        
        
            | Deep neural networks for kitchen activity recognition.   | IJCNN | 2017 | 21 | 
        
        
            | Detecting Commitment Abandonment by Monitoring Sub-Optimal Steps during Plan Execution.   | AAMAS | 2017 | 12 | 
        
        
            | Landmark-Based Heuristics for Goal Recognition.   | AAAI | 2017 | 83 | 
        
        
            | Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks.   | IJCNN | 2017 | 20 | 
        
        
            | A Deep Learning Approach for Norm Conflict Identification.   | AAMAS | 2017 | 0 | 
        
        
            | Landmark-Based Plan Recognition.   | ECAI | 2016 | 25 | 
        
        
            | A Bayesian Approach to Norm Identification.   | ECAI | 2016 | 0 | 
        
        
            | Towards Planning Uncertain Commitment Protocols.   | AAMAS | 2015 | 8 | 
        
        
            | A Bayesian Approach to Norm Identification.   | AAMAS | 2015 | 19 | 
        
        
            | Dealing with ambiguity in plan recognition under time constraints.   | AAMAS | 2014 | 12 | 
        
        
            | Norm monitoring with asymmetric information.   | AAMAS | 2014 | 4 | 
        
        
            | Analyzing the tradeoff between efficiency and cost of norm enforcement in stochastic environments.   | ECAI | 2014 | 7 | 
        
        
            | Formal semantics of speech acts for argumentative dialogues.   | AAMAS | 2014 | 15 | 
        
        
            | A First-Order Formalization of Commitments and Goals for Planning.   | AAAI | 2013 | 33 | 
        
        
            | Hierarchical planning about goals and commitments.   | AAMAS | 2013 | 24 | 
        
        
            | Querying Linked Ontological Data through Distributed Summarization.   | AAAI | 2012 | 20 | 
        
        
            | A cognitive architecture for emergency response.   | AAMAS | 2012 | 9 | 
        
        
            | An Agent Architecture for Prognostic Reasoning Assistance.   | IJCAI | 2011 | 19 | 
        
        
            | Probabilistic hierarchical planning over MDPs.   | AAMAS | 2011 | 3 | 
        
        
            | Prognostic normative reasoning in coalition planning.   | AAMAS | 2011 | 3 | 
        
        
            | ANTIPA: an agent architecture for intelligent information assistance.   | ECAI | 2010 | 19 | 
        
        
            | Norm-based behaviour modification in BDI agents.   | AAMAS | 2009 | 126 | 
        
        
            | Mapping Mental States into Propositional Planning.   | AAMAS | 2004 | 9 |