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Search results for matlab reinforcement learning
matlab
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reinforcement-learning
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21 search results found
Reinforcement_learning_financial_trading
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84
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
Autonomous Drifting
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56
Autonomous Drifting using Reinforcement Learning
Adaptive Dynamic Programming Algorithms
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36
Adaptive dynamic programming
Ml In Action
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24
出版书籍《机器学习入门到实践——MATLAB实践应用》一书中的实例程序。涉及监督学习,非监督学习和强 for book "Machine Learning Introduction & action in MATLAB")
Pomdp
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20
Implementing a RL algorithm based upon a partially observable Markov decision process.
Dgp Irl
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18
Deep Gaussian Process for Inverse Reinforcement Learning
Mips
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14
Minimal Policy Search Toolbox
Ai
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14
使用深度强化学习解决视觉跟踪和视觉导航问题
Prioritizedreplay
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13
Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioRxiv, 225664.
Improved_rl_algorithm_mmimo_radar
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12
This repository contains the Matlab code used to generate the results in the paper “Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars” https://ieeexplore.ieee.org/abstract/document/9760
Memristor_rl
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12
Memristor Reinforcement Learning
Swl
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11
Sang-Wook's Library (SWL)
Fuzzy Q Learning
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10
A matlab implementation of Fuzzy Q-Learning for making cloud auto-scaling more intelligent through online policy learning
Automatic Bridge Bidding By Deep Reinforcement Learning
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9
The released model of the paper 'Automatic Bridge Bidding by Deep Reinforcement Learning' in ECAI 2016
Reinforcement Learning Forpowergrid Operation_and_maineinance
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8
reinforcement learning for power grid optimal operations and maintenance
Proximity
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8
A Machine Learning Approach for Power Allocation in HetNets Considering QoS
Kpirl Kla
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7
This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorithms have been published in "Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning."
Rlcc
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5
High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)
Rlsimulator Sbw Controller Using Reinforcement Learning
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5
Rl Agent Based Traffic Control
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5
Develop agent-based traffic management system by model-free reinforcement learning
Ke_ae
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5
Reinforcement Learning- Watkins Q Learning(Eligibility Traces) for Maze Solving Agent
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1-21 of 21 search results
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