reward function

Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Text2Reward: Reward Shaping with Language Models for Reinforcement Learning ICLR 2024 Training Diffusion Models with Reinforcement Learning ICLR 2024 Transfer Q-star : Principled Decoding for LLM Alignment NeurIPS 2024 Vanishing Gradients in Reinforcement Finetuning of Language Models ICLR 2024 VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning CoRL 2024 Walking the Values in Bayesian Inverse Reinforcement Learning UAI 2024 When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024 Zero-Shot Reinforcement Learning via Function Encoders ICML 2024 Adversarial Imitation Learning with Preferences ICLR 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NeurIPS 2023 Bandit Learnability can be Undecidable COLT 2023 BC-IRL: Learning Generalizable Reward Functions from Demonstrations ICLR 2023 Behavior Alignment via Reward Function Optimization NeurIPS 2023 Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023 DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback IJCAI 2023 DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models NeurIPS 2023 Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses ACL 2023 Extracting Reward Functions from Diffusion Models NeurIPS 2023 Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning ACML 2023 Generating Dialog Responses with Specified Grammatical Items for Second Language Learning ACL 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs IJCAI 2023 GFlowNet Foundations JMLR 2023 InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning IJCAI 2023 Interactive Object Placement with Reinforcement Learning ICML 2023