13 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 2 cited
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38
AI systems that "think" in human language offer a unique opportunity for AI safety: we can monitor their chains of thought (CoT) for the intent to misbehave. Like all other known A…
cs.LG2020★ 10 cited
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger, Adam Lerer, Noam Brown
We introduce DREAM, a deep reinforcement learning algorithm that finds optimal strategies in imperfect-information games with multiple agents. Formally, DREAM converges to a Nash E…
cs.GT2019★ 13 cited
Single Deep Counterfactual Regret Minimization
Eric Steinberger
Counterfactual Regret Minimization (CFR) is the most successful algorithm for finding approximate Nash equilibria in imperfect information games. However, CFR's reliance on full ga…