NIPS Proceedingsβ

Marc Lanctot

7 Papers

  • Actor-Critic Policy Optimization in Partially Observable Multiagent Environments (2018)
  • A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning (2017)
  • Memory-Efficient Backpropagation Through Time (2016)
  • Convergence of Monte Carlo Tree Search in Simultaneous Move Games (2013)
  • Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions (2012)
  • Variance Reduction in Monte-Carlo Tree Search (2011)
  • Monte Carlo Sampling for Regret Minimization in Extensive Games (2009)