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Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors.

, , , , , and . AAMAS, page 982-1000. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)

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Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments., , , , and . AAMAS, page 465-473. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations., , , , , and . CoRR, (2021)PODNet: A Neural Network for Discovery of Plannable Options., , , , and . CoRR, (2019)Cyber-Human Approach For Learning Human Intention And Shape Robotic Behavior Based On Task Demonstration., , , and . IJCNN, page 1-7. IEEE, (2018)Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time., , , , and . AAAI, page 2462-2470. AAAI Press, (2019)Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time., , , , and . CoRR, (2018)Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments., , , , and . CoRR, (2019)PODNet: A Neural Network for Discovery of Plannable Options., , , , and . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), volume 2600 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors., , , , , and . AAMAS, page 982-1000. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)