https:\/\/medium.com\/@SayedAhmedCanada<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"What I was looking for is: A DQN (Deep Q Learning Neural Network) or a Reinforcement Learning example that can learn from existing simulation data, and then can use that learning to interactively optimize an objective. The challenge will be: Whether my data can be learned from (whether the format\/structure of the data is usable … <\/p>\n
Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-19601","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":26368,"url":"http:\/\/bangla.sitestree.com\/?p=26368","url_meta":{"origin":19601,"position":0},"title":"Reinforcement Learning Examples\/DQN Examples #Root","author":"Author-Check- Article-or-Video","date":"April 22, 2021","format":false,"excerpt":"What I was looking for is: A DQN (Deep Q Learning Neural Network) or a Reinforcement Learning example that can learn from existing simulation data, and then can use that learning to interactively optimize an objective. The challenge will be: Whether my data can be learned from (whether the format\/structure\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24334,"url":"http:\/\/bangla.sitestree.com\/?p=24334","url_meta":{"origin":19601,"position":1},"title":"Matlab: Reinforcement Learning Examples","author":"Sayed","date":"April 7, 2021","format":false,"excerpt":"Getting Started Train a DQN Agent to Balance a Cart-Pole System Train a Q-Learning Agent to Solve Grid World Problems Train a Reinforcement Learning Agent in an MDP Environment Reinforcement Learning A Motivation for a Powertrain Control Engineer (21:26 Automated Driving Train DDPG Agent for Adaptive Cruise Control Train DQN\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":23301,"url":"http:\/\/bangla.sitestree.com\/?p=23301","url_meta":{"origin":19601,"position":2},"title":"Three Approaches to RL: #Deep Q Learning Networks – #DQN","author":"Sayed","date":"March 29, 2021","format":false,"excerpt":"Three Approaches to RL - Georgia Tech - Machine Learning https:\/\/www.youtube.com\/watch?v=bFPoHrAoPoQ Deep Q Learning Networks https:\/\/www.youtube.com\/watch?v=OYhFoMySoVs","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19382,"url":"http:\/\/bangla.sitestree.com\/?p=19382","url_meta":{"origin":19601,"position":3},"title":"Resources: Reinforcement Learning and Deep Reinforcement Learning","author":"Sayed","date":"January 28, 2021","format":false,"excerpt":"Platform: https:\/\/gym.openai.com\/ Code Examples: https:\/\/towardsdatascience.com\/using-deep-q-learning-in-fifa-18-to-perfect-the-art-of-free-kicks-f2e4e979ee66?gi=b96ce845729c https:\/\/becominghuman.ai\/reinforcement-learning-with-fifa-and-keras-85ec792e25b2 https:\/\/towardsdatascience.com\/reinforcement-learning-demystified-solving-mdps-with-dynamic-programming-b52c8093c919 https:\/\/github.com\/openai\/gym\/blob\/master\/gym\/envs\/toy_text\/nchain.py Theory https:\/\/towardsdatascience.com\/introduction-to-various-reinforcement-learning-algorithms-i-q-learning-sarsa-dqn-ddpg-72a5e0cb6287 https:\/\/cecas.clemson.edu\/ayalew\/Papers\/Vehicle%20Systems%20Dynamics%20and%20Control\/Papers\/A%20Saturation%20Balancing%20Control%20Method%20for%20Enhancing%20Dynamic%20Vehicle%20Stability\/IJVD%2061_1-4_Paper%203.pdf https:\/\/arxiv.org\/pdf\/1712.01815.pdf *** . *** *** . *** . *** . *** Courses: http:\/\/Training.SitesTree.com (Big Data, Cloud, Security, Machine Learning) Blog: http:\/\/Bangla.SaLearningSchool.com, http:\/\/SitesTree.com 8112223 Canada Inc.\/JustEtc: http:\/\/JustEtc.net Shop Online: https:\/\/www.ShopForSoul.com\/ Linkedin: https:\/\/ca.linkedin.com\/in\/sayedjustetc Medium: https:\/\/medium.com\/@SayedAhmedCanada","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24971,"url":"http:\/\/bangla.sitestree.com\/?p=24971","url_meta":{"origin":19601,"position":4},"title":"AI Implementation Platforms: Reinforcement Learning Platforms and Applications: #Root","author":"Author-Check- Article-or-Video","date":"April 14, 2021","format":false,"excerpt":"\" Gym: https:\/\/gym.openai.com\/ Gym is a toolkit for developing and comparing .... It supports teaching agents everything from walking to playing games like Pong or Pinball. \" https:\/\/gym.openai.com\/ ---- \"Project Malmo integrates (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. \" https:\/\/www.microsoft.com\/en-us\/research\/project\/project-malmo\/ ---- DeepMind: \"DeepMind's scientific mission\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14751,"url":"http:\/\/bangla.sitestree.com\/?p=14751","url_meta":{"origin":19601,"position":5},"title":"Applications and Research on Reinforcement Learning","author":"Sayed","date":"May 3, 2019","format":false,"excerpt":"\"WHAT ARE MAJOR REINFORCEMENT LEARNING ACHIEVEMENTS & PAPERS FROM 2018?\" Reference: https:\/\/www.topbots.com\/most-important-ai-reinforcement-learning-research\/#ai-rl-paper-2018-10 \" Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures Temporal Difference Models: Model-Free Deep RL for Model-Based Control Addressing Function Approximation Error in Actor-Critic Methods\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19601"}],"version-history":[{"count":0,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19601\/revisions"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19601"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}