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DMPL Reivews Meta Review As pointed out by the reviewers, the paper is interesting and provides novel components. The comments of the reviewers give plenty of hints how to improve, particularly also the presentation style and the writing style towards a robotics community, and not just ML community. Issues about continuous vs. discrete space should be formulated very clearly, as this is important for the pap.. 더보기
DRLA documentation 보호되어 있는 글입니다. 더보기
python subplot f, axarr = plt.subplots(1, 3, figsize=_figsize) r = get_s4reward(rewards) axarr[0].scatter(zmu_proj[idx_l,0],zmu_proj[idx_l,1],s=r[idx_l],marker='o',edgecolors='g',facecolors=_facecolors,linewidths=2,label='Left') axarr[0].set_xlim([-m,m]); axarr[0].set_ylim([-m,m]); axarr[0].set_title('Left', fontsize=25) axarr[1].scatter(zmu_proj[idx_r,0],zmu_proj[idx_r,1],s=r[idx_r],marker='o',edgecolors='r',.. 더보기
numpy append example posconcat = np.zeros((1, snapbot.NID)) currpos = snapbot.get_currpos() if posconcat.sum() == 0: posconcat = currpos.reshape((1, -1))else: posconcat = np.append(posconcat, currpos.reshape((1, -1)), axis=0) 더보기

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