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1507.04888
Cited By
Maximum Entropy Deep Inverse Reinforcement Learning
17 July 2015
Markus Wulfmeier
Peter Ondruska
Ingmar Posner
OOD
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Papers citing
"Maximum Entropy Deep Inverse Reinforcement Learning"
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Title
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Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
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RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving
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Inverse Decision Modeling: Learning Interpretable Representations of Behavior
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Learning Reward for Physical Skills using Large Language Model
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When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
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PAC-Bayesian Soft Actor-Critic Learning
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On the Sensitivity of Reward Inference to Misspecified Human Models
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End-to-End Stochastic Optimization with Energy-Based Model
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Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning
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Learning Social Navigation from Demonstrations with Conditional Neural Processes
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Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
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37
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning
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Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
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Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
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J. Grizzle
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Receding Horizon Inverse Reinforcement Learning
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Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies
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Learning Dense Reward with Temporal Variant Self-Supervision
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A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
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Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search
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