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MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning

AAAI 2026 · Multi-agent systems and games › LLM agents · approach: Self-evolving language agent learning · 1 citations (OpenAlex)

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Builds Moral-Reason-QA (680 high-ambiguity MoralChoice scenarios with framework-specific reasoning traces for utilitarian, deontological, virtue ethics) and trains Qwen3-4B with GRPO plus a composite alignment/keyword reward to generalize moral frameworks to held-out scenarios.

Problem

Actively steering LLM agents' moral decisions toward a specified moral framework, and getting that behavior to generalize to scenarios outside the training distribution; prior work mostly evaluates morality or is limited to game-theoretic settings.

Approach

Cast framework-specific moral decision alignment as RL with GRPO, using a composite reward that combines a decision-alignment reward with a capped keyword reward on reasoning traces, and measure out-of-distribution alignment via a softmax-normalized alignment score.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: MoralChoice

Benchmarks: Moral-Reason-QA held-out disagreement scenarios (50)

Metrics: softmax-normalized OOD alignment score alignment reward

Baselines: Qwen3-4B-Base before GRPO

Builds on: GRPO MoralChoice Qwen3-4B

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