[{"title":"( 12 个子文件 20.38MB ) DeepReinforcementLearning-DDPG-for-RoboticsControl:这是名为深度确定性策略梯度(DDPG)的深度强化学习算法的实现,以训练4自由度机械臂达到移动目标。 动作空间是连续的,学习的特工为机器人输出扭矩以移动到特定目标位置-源码","children":[{"title":"DeepReinforcementLearning-DDPG-for-RoboticsControl-main","children":[{"title":"ddpg_agent.py <span style='color:#111;'> 5.34KB </span>","children":null,"spread":false},{"title":"finaltraining.png <span style='color:#111;'> 29.11KB </span>","children":null,"spread":false},{"title":"ou_noise.py <span style='color:#111;'> 792B </span>","children":null,"spread":false},{"title":"DeepReinforcementLearning.gif <span style='color:#111;'> 19.95MB </span>","children":null,"spread":false},{"title":"DDPG Report.pdf <span style='color:#111;'> 173.09KB </span>","children":null,"spread":false},{"title":"replay_buffer.py <span style='color:#111;'> 1.97KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"Continuous_Control.ipynb <span style='color:#111;'> 39.38KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"ddpg_models.py <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"actor_solved.pth <span style='color:#111;'> 206.85KB </span>","children":null,"spread":false},{"title":"critic_solved.pth <span style='color:#111;'> 208.65KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]