imitation.py usage

usage: imitation.py [-h] [--model-config-path MODEL_CONFIG_PATH] [--expert-weights-path EXPERT_WEIGHTS_PATH] [--render | --no-render]

optional arguments: -h, --help show this help message and exit --model-config-path MODEL_CONFIG_PATH Path to the model config file. --expert-weights-path EXPERT_WEIGHTS_PATH Path to the expert weights file. --render Whether to render the environment. --no-render Whether to render the environment.

eg. python imitation.py --model-config-path ./LunarLander-v2-config.json --expert-weights-path ./LunarLander-v2-weights.h5

reinforce.py usage

usage: reinforce.py [-h] [--num-episodes NUM_EPISODES] [--lr LR] [--render | --no-render]

optional arguments: -h, --help show this help message and exit --num-episodes NUM_EPISODES Number of episodes to train on. --lr LR The learning rate. --render Whether to render the environment. --no-render Whether to render the environment.

e.g. python reinforce.py --num-episodes 50000 --lr 0.0005

a2c.py usage

usage: a2c.py [-h] [--num-episodes NUM_EPISODES] [--actor-lr ACTOR_LR] [--critic-lr CRITIC_LR] [--n N] [--render | --no-render]

optional arguments: -h, --help show this help message and exit --num-episodes NUM_EPISODES Number of episodes to train on. --actor-lr ACTOR_LR The actor's learning rate. --critic-lr CRITIC_LR The critic's learning rate. --n N The value of N in N-step A2C. --render Whether to render the environment. --no-render Whether to render the environment.

e.g. python a2c.py --num-episodes 50000 --actor-lr 1e-3 --critic-lr 1e-3 --n 50