Ian Gemp

Research Scientist@Google DeepMind·英国·OpenReview

研究方向

Multi-agent Learning · Game Theory · Nash Equilibrium · Reinforcement Learning · Generative Adversarial Networks · Variational Autoencoders · Variational Inequalities · Optimization · Deep Learning

6.0

合作者 (20)

Ian Gemp

Code World Models for General Game Playing

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning

Re-evaluating Open-ended Evaluation of Large Language Models

Solving Zero-Sum Convex Markov Games

Deviation Ratings: A general, clone invariant rating method

LLM-Mediated Guidance of MARL Systems