Research Collaborations

We are always looking for new exciting research collaborations that would leverage our exclusive environments.

The following list provides a few examples of topics of interest

  • Deep reinforcement learning algorithms benchmarking (sample efficiency, cross-level and cross-game generalization, ...)
  • Population-based multi agent reinforcement learning benchmarking and quantitative analysis
  • Agent-agent and agent-human cooperation and competition
  • Human in the loop training
  • Imitation learning

but we are open for more, get in touch!