Return-Aligned Decision Transformer
ai model→ stable
RADT
The Return-Aligned Decision Transformer (RADT) is a novel decision-making model for offline reinforcement learning, proposed by researchers in a 2025 arXiv paper, designed to align an agent's actual return with a specified target return.
1Total Mentions
+0.30Sentiment (Positive)
0.0%Velocity (7d)
First seen: Apr 5, 2026Last active: Apr 5, 2026
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Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W14 | 0.30 | 1 |