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Inverse Reinforcement Learning

46 papers

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Papers

Can Optimal Transport Improve Federated Inverse Reinforcement Learning? L4DC 2026 Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping L4DC 2026 Efficient Imitation under Misspecification ICLR 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025 Robust Inverse Reinforcement Learning Control with Unknown States L4DC 2025 Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers ICLR 2025 Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning ICLR 2025 Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality AISTATS 2025 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Massively Scalable Inverse Reinforcement Learning in Google Maps ICLR 2024 One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits UAI 2024 Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification ICLR 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NeurIPS 2024 Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning ICLR 2024 A Pragmatic Look at Deep Imitation Learning ACML 2023 Benchmarking Constraint Inference in Inverse Reinforcement Learning ICLR 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning ICLR 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023 Understanding and Adopting Rational Behavior by Bellman Score Estimation ICLR 2023 Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NeurIPS 2022 Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning ACML 2022 Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies ICLR 2022 Receding Horizon Inverse Reinforcement Learning NeurIPS 2022 X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning UAI 2022