Neural replicator dynamics (NeuRD) is an alternative to the foundational...
Hindsight rationality is an approach to playing general-sum games that
p...
We introduce the partially observable history process (POHP) formalism f...
A key challenge in the field of reinforcement learning is to develop age...
Hindsight rationality is an approach to playing multi-agent, general-sum...
Driven by recent successes in two-player, zero-sum game solving and play...
Regret minimization has played a key role in online learning, equilibriu...
Function approximation is a powerful approach for structuring large deci...
A dominant approach to solving large imperfect-information games is
Coun...
OpenSpiel is a collection of environments and algorithms for research in...
In multiagent learning, agents interact in inherently nonstationary
envi...
In this paper, we present exploitability descent, a new algorithm to com...
Artificial intelligence has seen several breakthroughs in recent years, ...
We propose a novel online learning method for minimizing regret in large...