possible_keywords.json

{
    "epochs": "Int",
    "batch_size": "Int",
    "model": ["DDPG", "DDPGFD","DDPG+HER","DDPGFD+HER", "gym"],
    "learning_rate": "Float",
    "discount": "Float",
    "epsilon": "Float",
    "edecay": "Float",
    "entropy": "Float",
    "object": ["Cube", "Cylinder"],
    "hand": ["2v2", "2v2-B"],
    "task": [""],
    "evaluate": "Int",
    "sampling": ["unplanned_random","asterisk", "full_random", "unplanned_random", "forward","forward_right","right","backward_right","backward","backward_left","left","forward_left"],
    "reward": ["Sparse","Distance","Distance + Finger", "Hinge Distance + Finger", "Slope", "Slope + Finger","SmartDistance + Finger","SmartDistance + SmartFinger","ScaledDistance + Finger","SFS","DFS"],
    "action": ["Finger Tip Position", "Joint Velocity"],
    "rollout_size": "Int",
    "rollout_weight": "Float",
    "tau": "Float",
    "pv": "Int",
    "viz": "Bool",
    "sr": "Int","
    "success_reward": "Float",
    "state_noise": "Float",
    "start_noise": "Float",
    "tsteps": "Int",
    "eval-tsteps": "Int",
    "distance_scaling": "Float",
    "contact_scaling": "Float",
    "freq": "Int",
    "rstart": "Bool",
    "state_dim": "Int",
    "state_mins": "List",
    "state_maxes": "List",
    "state_list": "List",
    "action_dim": "Int",
    "save_path": "String",
    "load_path": "String",
    "hand_path": "String",
    "object_path": "String",
    "max_action": "Float",
    "points_path": "String",
    "tname": "String"
}