JSerenity的博客

Part 1: Key Concepts in RL for review. need to update. In a nutshell, RL is the study of agents and how they learn by trial and error. It formalizes the idea that rewarding or punishing an agent for i...

Spinning Up USER DOCUMENTATION (For review) Environments Spinning Up requires Python3, OpenAI Gym, and OpenMPI. MuJoCo(Optional but Preferred) Algorithms VPG, TRPO, PPO, DDPG, TD3, SAC. The On-Policy ...

Learn to play Pong with PG from scratch and pixels http://karpathy.github.io/2016/05/31/rl/ Policy Gradients(PG) is default choice for attacking RL problems. DQN changed Q-Learning. PG is preferred be...