reward signal

Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming AAAI 2024 Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS 2023 Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach ACL 2022 Interaction Considerations in Learning from Humans IJCAI 2021 Learning Task Informed Abstractions ICML 2021 Policy Learning Using Weak Supervision NeurIPS 2021 Generating Persona Consistent Dialogues by Exploiting Natural Language Inference AAAI 2020 Meta-learning curiosity algorithms ICLR 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020 Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension EMNLP 2019 Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning AAAI 2019 Semantic Parsing with Dual Learning ACL 2019 Cross-modal Bidirectional Translation via Reinforcement Learning IJCAI 2018 Interactive Learning from Policy-Dependent Human Feedback ICML 2017 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013