A3C

Asynchronous Advantage Actor-Critic — a deep RL algorithm that trains multiple agent instances in parallel on separate environment copies, asynchronously updating a shared policy network. A3C was one of the first algorithms to achieve superhuman performance on Atari games and demonstrated that parallel data collection can replace experience replay for stable training.

See this in practice: our real-world evals →