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Title: reinforcement-learning-master Download
  • Category:
  • matlab
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  • File Size:
  • 4.39mb
  • Update:
  • 2020-05-01
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  • Uploaded by:
  • 郝好好
 Description: Single agent and multi-agent path planning algorithm based on reinforcement learning in obstacle environment
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FilenameSizeDate
reinforcement-learning-master 0  2018-06-01

reinforcement-learning-master\.gitattributes 66  2018-06-01

reinforcement-learning-master\MAL 0  2018-06-01

reinforcement-learning-master\MAL\01 MA Centralized-Q 0  2018-06-01

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reinforcement-learning-master\MAL\01 MA Centralized-Q\macq.m 3115  2018-06-01

reinforcement-learning-master\MAL\01 MA Centralized-Q\maq_iterationCount.mat 5988  2018-06-01

reinforcement-learning-master\MAL\01 MA Centralized-Q\maq_reward.mat 5987  2018-06-01

reinforcement-learning-master\MAL\01 MA Centralized-Q\weights.mat 1487  2018-06-01

reinforcement-learning-master\MAL\02 MA Hysteretic-Q 0  2018-06-01

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reinforcement-learning-master\MAL\02 MA Hysteretic-Q\MAEnvironment.m 7775  2018-06-01

reinforcement-learning-master\MAL\02 MA Hysteretic-Q\a1_weights.mat 536  2018-06-01

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reinforcement-learning-master\MAL\02 MA Hysteretic-Q\maq_reward.mat 5760  2018-06-01

reinforcement-learning-master\MAL\03 MAPG 0  2018-06-01

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reinforcement-learning-master\MAL\03 MAPG\ValueEstimator.m 844  2018-06-01

reinforcement-learning-master\MAL\03 MAPG\agent1_policy_weights.mat 536  2018-06-01

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reinforcement-learning-master\MAL\03 MAPG\value_weights.mat 216  2018-06-01

reinforcement-learning-master\MAL\Basic Functions 0  2018-06-01

reinforcement-learning-master\MAL\Basic Functions\clcAngle.m 463  2018-06-01

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reinforcement-learning-master\MAL\Basic Functions\make_epsilon_policy.m 334  2018-06-01

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reinforcement-learning-master\MAL\Basic Functions\sigmoid.m 51  2018-06-01

reinforcement-learning-master\README.md 759  2018-06-01

reinforcement-learning-master\SAL 0  2018-06-01

reinforcement-learning-master\SAL\01 DP 0  2018-06-01

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reinforcement-learning-master\SAL\01 DP\VI_simulationTime.mat 192  2018-06-01

reinforcement-learning-master\SAL\01 DP\Values.xlsx 26566  2018-06-01

reinforcement-learning-master\SAL\01 DP\policy_evaluation.m 781  2018-06-01

reinforcement-learning-master\SAL\02 MC 0  2018-06-01

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reinforcement-learning-master\SAL\02 MC\onpmc_q.mat 27688  2018-06-01

reinforcement-learning-master\SAL\02 MC\onpmc_returns.mat 36066  2018-06-01

reinforcement-learning-master\SAL\02 MC\onpmc_reward.mat 1015  2018-06-01

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reinforcement-learning-master\SAL\03 TD\qLearning.m 2976  2018-06-01

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reinforcement-learning-master\SAL\04 LFA 0  2018-06-01

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reinforcement-learning-master\SAL\04 LFA\linear_function_approximation.m 3454  2018-06-01

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reinforcement-learning-master\SAL\05 DQN 0  2018-06-01

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reinforcement-learning-master\SAL\05 DQN\DQN_iterationCount.mat 23638  2018-06-01

reinforcement-learning-master\SAL\05 DQN\DQN_reward.mat 2976  2018-06-01

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reinforcement-learning-master\SAL\06 LPG 0  2018-06-01

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reinforcement-learning-master\SAL\06 LPG\pg_iterationCount.mat 103307  2018-06-01

reinforcement-learning-master\SAL\06 LPG\pg_reward.mat 2130  2018-06-01

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reinforcement-learning-master\SAL\06 LPG\policy_weights.mat 330  2018-06-01

reinforcement-learning-master\SAL\06 LPG\value_weights.mat 211  2018-06-01

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