Alignment Fidelity
In the construction of reinforcement learning environments, the degree to which a simulator matches the real target system in state transitions, physical rules, reward signals, and observation representations. Insufficient alignment fidelity leads agents to exploit simulator bias for reward hacking, producing a sim-to-real gap.
Timeline (last 90 days)
Parity refers to the degree of consistency between a simulator and the real target system in state transitions, physics rules, reward signals and observation representations; insufficient parity causes agents to exploit simulator bias and cheat, resulting in a sim-to-real gap.
The framework distinguishes two dimensions, value expression (the range of identifiable values) and value organization (how values are distributed and sustained across multi-turn dialogue), and proposes metrics such as value coverage, alignment, diffusion, and cross-turn dynamics.
Alignment reflects the degree to which the structure aligns with the representation of the concept in a specific context.
Low alignment not only weakens the effect but can reverse the direction of intervention, directly suppressing the expression of the concept.
All Facts (4)
Parity refers to the degree of consistency between a simulator and the real target system in state transitions, physics rules, reward signals and observation representations; insufficient parity causes agents to exploit simulator bias and cheat, resulting in a sim-to-real gap.
50%UnverifiedThe framework distinguishes two dimensions, value expression (the range of identifiable values) and value organization (how values are distributed and sustained across multi-turn dialogue), and proposes metrics such as value coverage, alignment, diffusion, and cross-turn dynamics.
50%UnverifiedAlignment reflects the degree to which the structure aligns with the representation of the concept in a specific context.
50%UnverifiedLow alignment not only weakens the effect but can reverse the direction of intervention, directly suppressing the expression of the concept.
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