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1.梯度拟合sin函数.ipynb
1.梯度拟合sin函数.ipynb
 
 
10.DynaQ测试.ipynb
10.DynaQ测试.ipynb
 
 
11.策略梯度测试.ipynb
11.策略梯度测试.ipynb
 
 
12.Actor-Critic类算法.ipynb
12.Actor-Critic类算法.ipynb
 
 
13.DDPG算法.ipynb
13.DDPG算法.ipynb
 
 
14.TD3测试.ipynb
14.TD3测试.ipynb
 
 
15.a3c算法实现（离散）.py
15.a3c算法实现（离散）.py
 
 
16.A3C算法实现（连续）.ipynb
16.A3C算法实现（连续）.ipynb
 
 
17.改进Q-learning的奖励机制可以取得更多次目标.json
17.改进Q-learning的奖励机制可以取得更多次目标.json
 
 
18.不恰当的环境奖励将导致收敛性降低-月球着陆.ipynb
18.不恰当的环境奖励将导致收敛性降低-月球着陆.ipynb
 
 
19.Curiosity_QNet.ipynb
19.Curiosity_QNet.ipynb
 
 
2.使用torch的梯度计算sinx.ipynb
2.使用torch的梯度计算sinx.ipynb
 
 
3.使用tourch的自动梯度计算sinx.ipynb
3.使用tourch的自动梯度计算sinx.ipynb
 
 
4.使用torch构建线性网络计算.ipynb
4.使用torch构建线性网络计算.ipynb
 
 
5.自定义函数拟合sinx.ipynb
5.自定义函数拟合sinx.ipynb
 
 
6.A3C修改精度已经收敛代码.ipynb
6.A3C修改精度已经收敛代码.ipynb
 
 
7.DQN完成CartPole收敛.ipynb
7.DQN完成CartPole收敛.ipynb
 
 
8.DQN合集--Value Based.ipynb
8.DQN合集--Value Based.ipynb
 
 
9.Double DQN的经验优先传递.ipynb
9.Double DQN的经验优先传递.ipynb
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
q_and_sarsa_for_Taxi_problem_with_pso.ipynb
q_and_sarsa_for_Taxi_problem_with_pso.ipynb
 
 
悬崖q与Sarsa.ipynb
悬崖q与Sarsa.ipynb
 
 
模拟退火策略解决初中物理应用题.ipynb
模拟退火策略解决初中物理应用题.ipynb
 
 

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强化学习测试代码

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