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A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret.

, , , and . IROS, page 3485-3491. IEEE, (2021)

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Reducing Sampling Error in Policy Gradient Learning., and . AAMAS, page 1016-1024. International Foundation for Autonomous Agents and Multiagent Systems, (2019)RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration., , , , and . CoRR, (2019)Quantum-Secure Authentication via Abstract Multi-Agent Interaction., , and . CoRR, (2020)Importance sampling in reinforcement learning with an estimated behavior policy., , and . Mach. Learn., 110 (6): 1267-1317 (2021)Stochastic Grounded Action Transformation for Robot Learning in Simulation., , , , and . IROS, page 6106-6111. IEEE, (2020)Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction.. AAAI, page 22667. AAAI Press, (2024)Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration., , , and . AAMAS, page 1146-1154. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Learning an Interpretable Traffic Signal Control Policy., , and . AAMAS, page 88-96. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction., and . CoRR, (2022)Multi-task Representation Learning for Pure Exploration in Bilinear Bandits., , , and . CoRR, (2023)