coach/benchmarks/clipped_ppo

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.

Inverted Pendulum Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl inverted_pendulum

Inverted Double Pendulum Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl inverted_double_pendulum

Reacher Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl reacher

Hopper Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl hopper

Half Cheetah Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl half_cheetah

Walker 2D Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl walker2d

Ant Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl ant

Swimmer Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl swimmer

Humanoid Clipped PPO - single worker

python3 coach.py -p Mujoco_ClippedPPO -lvl humanoid