DeepMind & UCL Propose Neural Population Learning: An Efficient and General Framework That Learns Strategically Diverse Policies for Real-World Games | Synced
A research team from DeepMind and University College London proposes Neural Population Learning (NeuPL), an efficient and general framework that learns and represents diverse policies in symmetric ...
Source: Synced | AI Technology & Industry Review
A research team from DeepMind and University College London proposes Neural Population Learning (NeuPL), an efficient and general framework that learns and represents diverse policies in symmetric zero-sum games within a single conditional network.