1.2k citations · 2.3k across the 12 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.AI2020★ 5 cited
Human-Agent Cooperation in Bridge Bidding
Edward Lockhart, Neil Burch, Nolan Bard +4
We introduce a human-compatible reinforcement-learning approach to a cooperative game, making use of a third-party hand-coded human-compatible bot to generate initial training data…
cs.LG2020★ 3 cited
Approximate exploitability: Learning a best response in large games
Finbarr Timbers, Nolan Bard, Edward Lockhart +6
Researchers have demonstrated that neural networks are vulnerable to adversarial examples and subtle environment changes, both of which one can view as a form of distribution shift…