#60 Reinforcement Learning- Introduction, Markovs Decision Problem with Example |ML|

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  • čas přidán 12. 09. 2021
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Komentáře • 37

  • @iamtpk03
    @iamtpk03 Před 11 měsíci +3

    ur teaching is not only excellent but it's also cute..thank you mam.'

  • @tonystark6215
    @tonystark6215 Před 8 měsíci +6

    Best example of reinforcement learning is
    In pubg game
    If we throw a grnade on vehicle
    It will create the blast according to the environment
    It is called reinforcement learning

  • @user-pc3lw5rl5o
    @user-pc3lw5rl5o Před 4 měsíci +1

    Mam plz make videos on induction as inverted deduction,inverting resolution .. our exam is on march 6

  • @bgm_344
    @bgm_344 Před 8 měsíci +5

    Markovs descion has not covered plz see it once it is asking for 16 marks as our KITS GUNTUR AUTONOMOUS SYLLABIS

  • @amritprakash4264
    @amritprakash4264 Před 2 lety +2

    GREAT HELP

  • @Keshav_Dharavath
    @Keshav_Dharavath Před rokem +9

    "I seriously don't know how to play chess " .
    I laughed alot mam😂

  • @zugak1276
    @zugak1276 Před rokem

    Sister super 👌 👍 😍

  • @jayaprasannakaveti5161
    @jayaprasannakaveti5161 Před 2 měsíci

    Mam can you provide Iot architecture and protocols subject we had exam in one week

  • @d27malathik31
    @d27malathik31 Před 3 měsíci

    We need notes or material to study for exam

  • @user-ml3lc8ly2i
    @user-ml3lc8ly2i Před 5 měsíci +1

    Mam 29 jan we have the paper 😢

  • @prakruthist5277
    @prakruthist5277 Před 2 lety +3

    Thanks a lot. Video helped in understanding concept... It would be great if you go lil slow in explaining so that we can grasp concepts better

  • @62_vaibhavyadav78
    @62_vaibhavyadav78 Před rokem +1

    Markov Decision Process
    Agent-Environment Interaction, State Vectors, Action & Policy,
    Exploration vs Exploitation, Markov State, Markov Decision Process,
    Optimal Policy, State Value function, Action Value Function,
    Understanding RL Equation, Bellman Equation of Optimality, Solving
    Bellman Equation, Policy Environment.
    Maam can you please explain these concepts in the further videos

  • @bsarveshboya672
    @bsarveshboya672 Před 17 dny

    Explanation is GD ,but content is not sufficient mdm ,focus on main content examples are not sufficient ,tqs mdm

  • @powerstarkaadda9561
    @powerstarkaadda9561 Před rokem +1

    About active and passive learning?

  • @c.d.premkumar6867
    @c.d.premkumar6867 Před 2 lety +1

    What is the meaning of "Agent" ? How does the m/c know whether fire is bad and water is good or vice versa ?

  • @divyanandgowdi
    @divyanandgowdi Před 2 lety +1

    mam pls make a video on these topics,jntuh syllabus
    Induction as inverted deduction,
    inverting resolution

  • @snehaammu350
    @snehaammu350 Před rokem +1

    Mam we have semister on 10 July can uh pls make more videos

  • @azhakudurai5943
    @azhakudurai5943 Před 2 lety +1

    how a agent knows whether it is correct or wrong decision at the moment?

  • @pulkittiwari8782
    @pulkittiwari8782 Před 2 lety +1

    can uh pls explain MDP in brief.

  • @avinashchintaluru4520
    @avinashchintaluru4520 Před 2 lety +4

    Mam, we are having semester exam on 22nd November. If possible, Can please make a video on the below mentioned topics.
    Hidden Markov Models: Introduction, discrete Markov processes, hidden Markov models, three basic problems of HMMs evaluation problem, finding the state sequence, learning model parameters, continuous observations, the HMM with input, model selection in HMM.
    Thanks in advance.

  • @Oneday_iwill_makeit
    @Oneday_iwill_makeit Před měsícem

    Ur voice is so sweet and cute
    It made me 💦