Solly is the first AI to achieve elite human-level play in reduced-format Liar's Poker via self-play actor-critic reinforcement learning, outperforming both world-class humans and large language models on win rate and equity while developing non-exploitable strategies.
URL https://www.science.org/doi/abs/10.1126/sciadv.adg3256
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
The paper identifies four missing interfaces (data autolabelling, embodiment retargeting, physics-grounded world models, and video-based reward inference) as the central bottleneck beyond VLA scaling for robot intelligence.
citing papers explorer
-
Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning
Solly is the first AI to achieve elite human-level play in reduced-format Liar's Poker via self-play actor-critic reinforcement learning, outperforming both world-class humans and large language models on win rate and equity while developing non-exploitable strategies.
-
Robots Need More than VLA and World Models
The paper identifies four missing interfaces (data autolabelling, embodiment retargeting, physics-grounded world models, and video-based reward inference) as the central bottleneck beyond VLA scaling for robot intelligence.