# Clipped PPO Each experiment uses 3 seeds and is trained for 10k environment steps. The parameters used for Clipped PPO are the same parameters as described in the [original paper](https://arxiv.org/abs/1707.06347). ### Inverted Pendulum Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl inverted_pendulum ``` Inverted Pendulum Clipped PPO ### Inverted Double Pendulum Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl inverted_double_pendulum ``` Inverted Double Pendulum Clipped PPO ### Reacher Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl reacher ``` Reacher Clipped PPO ### Hopper Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl hopper ``` Hopper Clipped PPO ### Half Cheetah Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl half_cheetah ``` Half Cheetah Clipped PPO ### Walker 2D Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl walker2d ``` Walker 2D Clipped PPO ### Ant Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl ant ``` Ant Clipped PPO ### Swimmer Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl swimmer ``` Swimmer Clipped PPO ### Humanoid Clipped PPO - single worker ```bash python3 coach.py -p Mujoco_ClippedPPO -lvl humanoid ``` Humanoid Clipped PPO