Yacine: PPO with a small RNN under 1M parameters is enough for RL

AI engineer YacineMTB argues that reinforcement learning only needs PPO with a small RNN under one million parameters, explicitly recommending PufferLib's PPO implementation over more complex asymmetric actor-critic designs.

2026-10-03 ~ 2026-10-03 · 2 related posts

• YacineMTB: PPO Is All You Need, With Tiny RNNs Under 1M Params — yacineMTB · 2026-10-03
• YacineMTB Doubles Down: PufferLib's PPO Plus Tiny RNNs Is All You Need — yacineMTB · 2026-10-03