the value for the available_actions

[EddyJason]

why the value of the available_actions is the array of (12800, 5) and the value of each row is [1, 1, 1, 1, 1]. 1 simply indicate whether or not it simply indicates whether or not it is moving, but does not consider the direction of movement.

[zoeyuchao]

Okay. You have created so many issues and I can not figure out which one I should answer, could you summarize your questions clearly? Chinese is okay.

[EddyJason]

我想知道动作空间中0与1的区别，0是否代表不动，1是否代表移动
还有.sh文件的运行，经过terminal运行，但是程序报错无法找到模型
还有一个新的问题：
def observation(self, agent, world):
# goal positions
# goal_pos = [np.zeros(world.dim_p), np.zeros(world.dim_p)]
# if agent.goal_a is not None:
# goal_pos[0] = agent.goal_a.state.p_pos - agent.state.p_pos
# if agent.goal_b is not None:
# goal_pos[1] = agent.goal_b.state.p_pos - agent.state.p_pos
# goal color
goal_color = [np.zeros(world.dim_color), np.zeros(world.dim_color)]
# if agent.goal_a is not None:
# goal_color[0] = agent.goal_a.color
if agent.goal_b is not None:
goal_color[1] = agent.goal_b.color

    # get positions of all entities in this agent's reference frame
    entity_pos = []
    for entity in world.landmarks:  # world.entities:
        entity_pos.append(entity.state.p_pos - agent.state.p_pos)
    # entity colors
    entity_color = []
    for entity in world.landmarks:  # world.entities:
        entity_color.append(entity.color)
    # communication of all other agents
    comm = []
    for other in world.agents:
        if other is agent:
            continue
        comm.append(other.state.c)
    return np.concatenate([agent.state.p_vel] + entity_pos + [goal_color[1]] + comm)

在观测空间中，为什么返回的是p_vel而不是p_pos

[EddyJason]

一个新的问题是：
为什么产生64个不同的世界，只产生一个世界，直接计算轨迹不是更快吗？
为什么动作空间是5位数组？其中四位应该是东南西北，但是第五位是序号吗？