Do LLMs Learn from Rewards in Context?: Rethinking the role of reward in In-Context Reinforcement Learning
cs.LG, cs.CL
Submitted: 2026-10-08
Updated: 2026-10-08
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Filtering Learning Histories Enhances In-Context Reinforcement Learning
- The Llama 3 Herd of Models
- In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
- Training Language Models to Self-Correct via Reinforcement Learning
- In-context Reinforcement Learning with Algorithm Distillation
- In-Context Reinforcement Learning via Communicative World Models
- In-context Learning and Induction Heads
- Reward Is Enough: LLMs Are In-Context Reinforcement Learners
- Qwen3 Technical Report
- Negation: A Pink Elephant in the Large Language Models' Room?
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Agent Workflow Memory
- Larger language models do in-context learning differently
- From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
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