RewardWeaver: Long-Horizon Interactive Learning for Language Agents via Self-Evolving Reward Adaptation
cs.AI
Submitted: 2026-10-07
Updated: 2026-10-07
Terminology
Sources
- SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
- EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
- AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
- Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner
- RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- SOTOPIA-$\pi$: Interactive Learning of Socially Intelligent Language Agents
- Sotopia-RL: Reward Design for Social Intelligence
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems