Cover Image

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Min, Do June, Perez-Rosas, Veronica, Resnicow, Kenneth, Mihalcea, Rada
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing
by: Min, Do June, et al.
Published: (2023)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
by: Yang, Rui, et al.
Published: (2024)

Persuasion at Play: Understanding Misinformation Dynamics in Demographic-Aware Human-LLM Interactions
by: Borah, Angana, et al.
Published: (2025)

Exploring Self-Identified Counseling Expertise in Online Support Forums
by: Lahnala, Allison, et al.
Published: (2021)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
by: Cheng, Ruoxi, et al.
Published: (2025)

Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
by: Lu, Yining, et al.
Published: (2025)

Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)

Reinforcement Learning with Conditional Expectation Reward
by: Xiao, Changyi, et al.
Published: (2026)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
by: Tang, Xinyu, et al.
Published: (2025)

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards
by: Sun, Zetian, et al.
Published: (2025)

Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization
by: Adams, Carter, et al.
Published: (2026)

Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
by: Ackermann, Johannes, et al.
Published: (2026)

Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models
by: Deng, Wenlong, et al.
Published: (2026)

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
by: Huang, Guanhua, et al.
Published: (2025)

ConfClip: Confidence-Weighted and Clipped Reward for Reinforcement Learning in LLMs
by: Zhang, Bonan, et al.
Published: (2025)

Generalizing Reward Modeling for Out-of-Distribution Preference Learning
by: Jia, Chen
Published: (2024)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)

GRAM-R$^2$: Self-Training Generative Foundation Reward Models for Reward Reasoning
by: Wang, Chenglong, et al.
Published: (2025)

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
by: Tao, Leitian, et al.
Published: (2025)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning
by: Beutel, Alex, et al.
Published: (2024)

Reward-RAG: Enhancing RAG with Reward Driven Supervision
by: Nguyen, Thang, et al.
Published: (2024)

REBEL: Reinforcement Learning via Regressing Relative Rewards
by: Gao, Zhaolin, et al.
Published: (2024)

Process Reinforcement through Implicit Rewards
by: Cui, Ganqu, et al.
Published: (2025)

Learning to Reason without External Rewards
by: Zhao, Xuandong, et al.
Published: (2025)

MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
by: Ou, Jiefu, et al.
Published: (2026)

DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
by: Zhang, Kaiyi, et al.
Published: (2026)

When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
by: Wang, Li, et al.
Published: (2026)

Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
by: Deng, Wenlong, et al.
Published: (2025)

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
by: Chen, Yuen, et al.
Published: (2022)

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
by: Nguyen, Hieu Trung, et al.
Published: (2026)

REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
by: Stojanovski, Zafir, et al.
Published: (2025)

HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning
by: Lu, Zhicong, et al.
Published: (2026)

LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
by: Singh, Utsav, et al.
Published: (2024)

LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits
by: Nguyen, Duy, et al.
Published: (2024)

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
by: Ma, Qiyao, et al.
Published: (2026)

Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
by: Li, Zichao, et al.
Published: (2026)

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)