reward function

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024 LLMR: Knowledge Distillation with a Large Language Model-Induced Reward COLING 2024 Local Search GFlowNets ICLR 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value ICML 2024 One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits UAI 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Order-Preserving GFlowNets ICLR 2024 Pessimistic Backward Policy for GFlowNets NeurIPS 2024 Policy Aggregation NeurIPS 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification ICLR 2024 Recent Advancements in Inverse Reinforcement Learning AAAI 2024 Reinforcement Learning Guided Semi-Supervised Learning NeurIPS 2024 Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NeurIPS 2024 Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024 RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback ICML 2024 Robot Policy Learning with Temporal Optimal Transport Reward NeurIPS 2024 Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning ACL 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024 Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024 STARC: A General Framework For Quantifying Differences Between Reward Functions ICLR 2024