# Coach Benchmarks The following figures are training curves of some of the presets available through Coach. The X axis in all the figures is the total steps (for multi-threaded runs, this is the accumulated number of steps over all the workers). The Y axis in all the figures is the average episode reward with an averaging window of 11 episodes. These are the results you can expect to get when running the pre-defined presets in Coach. ## A3C ### Breakout_A3C with 16 workers ```bash python3 coach.py -p Breakout_A3C -n 16 -r ``` Breakout_A3C_16_workers ### InvertedPendulum_A3C with 16 workers ```bash python3 coach.py -p InvertedPendulum_A3C -n 16 -r ``` Inverted_Pendulum_A3C_16_workers ### Hopper_A3C with 16 workers ```bash python3 coach.py -p Hopper_A3C -n 16 -r ``` Hopper_A3C_16_workers ### Ant_A3C with 16 workers ```bash python3 coach.py -p Ant_A3C -n 16 -r ``` Ant_A3C_16_workers ## Clipped PPO ### InvertedPendulum_ClippedPPO with 16 workers ```bash python3 coach.py -p InvertedPendulum_ClippedPPO -n 16 -r ``` InvertedPendulum_ClippedPPO_16_workers ### Hopper_ClippedPPO with 16 workers ```bash python3 coach.py -p Hopper_ClippedPPO -n 16 -r ``` Hopper_Clipped_PPO_16_workers ### Humanoid_ClippedPPO with 16 workers ```bash python3 coach.py -p Humanoid_ClippedPPO -n 16 -r ``` Humanoid_ClippedPPO_16_workers ## DQN ### Pong_DQN ```bash python3 coach.py -p Pong_DQN -r ``` Pong_DQN ### Doom_Basic_DQN ```bash python3 coach.py -p Doom_Basic_DQN -r ``` Doom_Basic_DQN ## Dueling DDQN ### Doom_Basic_Dueling_DDQN ```bash python3 coach.py -p Doom_Basic_Dueling_DDQN -r ``` Doom_Basic_Dueling_DDQN ## DFP ### Doom_Health_DFP ```bash python3 coach.py -p Doom_Health_DFP -r ``` Doom_Health_DFP ## MMC ### Doom_Health_MMC ```bash python3 coach.py -p Doom_Health_MMC -r ``` Doom_Health_MMC ## NEC ## Doom_Basic_NEC ```bash python3 coach.py -p Doom_Basic_NEC -r ``` Doom_Basic_NEC ## PG ### CartPole_PG ```bash python3 coach.py -p CartPole_PG -r ``` CartPole_PG ## DDPG ### Pendulum_DDPG ```bash python3 coach.py -p Pendulum_DDPG -r ``` Pendulum_DDPG ## NAF ### InvertedPendulum_NAF ```bash python3 coach.py -p InvertedPendulum_NAF -r ``` InvertedPendulum_NAF ### Pendulum_NAF ```bash python3 coach.py -p Pendulum_NAF -r ``` Pendulum_NAF