中文说明:
关于ADP(自适应动态规划)的论文和代码
English Description:
Papers and codes about ADP (adaptive dynamic programming).关注次数: 2236
下载次数: 34
文件大小: 8420KB
中文说明:
关于ADP(自适应动态规划)的论文和代码
English Description:
Papers and codes about ADP (adaptive dynamic programming).some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\【注】具有完全未知动力学的连续时间线性系统的计算自适应最优控制.pdf
some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\全局自适应动态规划连续时间非线性系统.pdf
some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\其次下载--具有完全未知动力学的连续时间线性系统的计算自适应最优控制.pdf
some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\具有完全未知动力学的连续时间线性系统的计算自适应最优控制.docx
some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\计算血糖.pdf
some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\非线性控制设计的鲁棒自适应动态规划.pdf
some IEEE\13898367jiangyu_adaptive-dynamic-programming\姜宇--但都是连续系统--跟我的目的不一致\非线性非线性系统的自适应动态规划和最优控制.pdf
some IEEE\13898367jiangyu_adaptive-dynamic-programming.zip
some IEEE\69491758yu-jiang-Paper\yu-jiang-Paper_Automatica2012_CTLTI-38911d0\Jiang2012Automatica.m
some IEEE\69491758yu-jiang-Paper\yu-jiang-Paper_Automatica2012_CTLTI-38911d0\Jiang2012Automatica_optimized_version.m
some IEEE\69491758yu-jiang-Paper\yu-jiang-Paper_Automatica2012_CTLTI-38911d0\README.md
some IEEE\69491758yu-jiang-Paper.zip
some IEEE\ADPLib_V1.2\ADPLib.slx
some IEEE\ADPLib_V1.2\ADP_demo.slx
some IEEE\ADPLib_V1.2\ADP_demo_3rd_order.slx
some IEEE\ADPLib_V1.2\ADP_demo_term_noise.slx
some IEEE\ADPLib_V1.2\license.txt
some IEEE\ADPLib_V1.2\updates.txt
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\AllResults.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\cliffworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\CumRwd_Sarsa.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Cum_Rwd_QLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\epsilon_greedy_policy.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\greedy_policy.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\gridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\initGridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Islam Riashat MLSALT7 Reinforcement Learning Coursework 1.pdf
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\plotVP.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\policyIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\policyIteration2.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\qLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\qLearning2.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Question4_SARSA_GridWorld.png
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\rc2s.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_CumRwd.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_CumRwd.mat
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_Extensions_CumRwd.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_PolicyIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_QLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_SARSA.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_SARSA_2Step.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_sarsa_lambda.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\run_ValueIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\s2rc.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\sarsa.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\sarsa_2Step.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Sarsa_Extensions.mat
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\sarsa_lambda.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\smallworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\TODO.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\cliffworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\CumRwd_Sarsa.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\Cum_Rwd_QLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\epsilon_greedy_policy.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\greedy_policy.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\gridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\initGridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\plotVP.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\policyIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\policyIteration2.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\qLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\Question4_SARSA_GridWorld.png
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\rc2s.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_CumRwd_E0p1.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_CumRwd_E0p2.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_CumRwd_E0p4.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_CumRwd_E0p6.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_PolicyIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_QLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_SARSA.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_SARSA_2Step.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_sarsa_lambda.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\run_ValueIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\s2rc.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\sarsa.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\sarsa_2Step.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\sarsa_lambda.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\smallworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\TODO.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\Tuning Parameters\valueIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Basic RL\valueIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\cliffworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\gridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\initGridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\plotVP.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\policyIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\qLearning.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\rc2s.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\s2rc.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\sarsa.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\smallworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code\code\valueIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\code.zip
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\coursework1.pdf
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Original\cliffworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Original\gridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Original\initGridworld.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Original\plotVP.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Original\policyIteration.m
some IEEE\Q-Learning-SARSA-Policy-and-Value-Iteration-master\Coursework\Original\qLearning.m