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

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  • Опубліковано 22 гру 2024

КОМЕНТАРІ • 42

  • @tonystark6215
    @tonystark6215 Рік тому +10

    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

  • @Keshav_Dharavath
    @Keshav_Dharavath 2 роки тому +14

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

  • @Akhila66c0
    @Akhila66c0 9 місяців тому +2

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

  • @iamtpk03
    @iamtpk03 Рік тому +4

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

  • @govardhanreddy1839
    @govardhanreddy1839 4 місяці тому +1

    UNIT- IV
    Genetic Algorithms - Motivation, Genetic algorithms, an illustrative example, hypothesis space
    search, genetic programming, models of evolution and learning, parallelizing genetic algorithms.Learning Sets of Rules - Introduction, sequential covering algorithms, learning rule sets: summary,
    learning First-Order rules, learning sets of First-Order rules: FOIL, Induction as inverted deduction,
    inverting resolution.
    Reinforcement Learning - Introduction, the learning task, Q-learning, non-deterministic, rewards and
    actions, temporal difference learning, generalizing from examples, relationship to dynamic
    programming.

  • @bgm_344
    @bgm_344 Рік тому +7

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

  • @c.d.premkumar6867
    @c.d.premkumar6867 2 роки тому +2

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

  • @thatharipraveenkumar313
    @thatharipraveenkumar313 24 дні тому

    THANKS FOR YOUR VIDEO.

  • @thatharipraveenkumar313
    @thatharipraveenkumar313 24 дні тому

    IT HELPED ME ALOT.

  • @jayaprasannakaveti5161
    @jayaprasannakaveti5161 7 місяців тому

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

  • @amritprakash4264
    @amritprakash4264 3 роки тому +2

    GREAT HELP

  • @ailurichaitanya2648
    @ailurichaitanya2648 Місяць тому

    Explain xgboost algorithm pls mam

  • @IIM_life_by_Divya
    @IIM_life_by_Divya 2 роки тому +1

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

  • @d27malathik31
    @d27malathik31 9 місяців тому

    We need notes or material to study for exam

  • @prakruthist5277
    @prakruthist5277 3 роки тому +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

  • @azhakudurai5943
    @azhakudurai5943 2 роки тому +1

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

  • @powerstarkaadda9561
    @powerstarkaadda9561 2 роки тому +1

    About active and passive learning?

  • @62_vaibhavyadav78
    @62_vaibhavyadav78 Рік тому +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

  • @pulkittiwari8782
    @pulkittiwari8782 2 роки тому +1

    can uh pls explain MDP in brief.

  • @JaySoni-r7r
    @JaySoni-r7r 11 місяців тому +1

    Mam 29 jan we have the paper 😢

  • @snehaammu350
    @snehaammu350 Рік тому +1

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

  • @avinashchintaluru4520
    @avinashchintaluru4520 3 роки тому +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.

  • @zugak1276
    @zugak1276 2 роки тому

    Sister super 👌 👍 😍

  • @bsarveshboya672
    @bsarveshboya672 6 місяців тому

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

  • @manugondavinay9584
    @manugondavinay9584 4 місяці тому

    .???????????

  • @Oneday_iwill_makeit
    @Oneday_iwill_makeit 6 місяців тому

    Ur voice is so sweet and cute
    It made me 💦