Search Results - Kalyanakrishnan, Shivaram

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  1. 1
    Characterizing reinforcement learning methods through parameterized learning problems

    Characterizing reinforcement learning methods through parameterized learning problems by Kalyanakrishnan, Shivaram, Stone, Peter

    Published in Machine learning
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  2. 2
    Reinforcement Learning for Improving Chemical Reaction Performance

    Reinforcement Learning for Improving Chemical Reaction Performance by Hoque, Ajnabiul, Surve, Mihir, Kalyanakrishnan, Shivaram, Sunoj, Raghavan B.

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  3. 3
    Characterizing reinforcement learning methods through parameterized learning problems: Special Issue on Empirical Evaluations in Reinforcement Learning

    Characterizing reinforcement learning methods through parameterized learning problems: Special Issue on Empirical Evaluations in Reinforcement Learning by KALYANAKRISHNAN, Shivaram, STONE, Peter

    Published in Machine learning
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  4. 4
    Direction-changing fall control of humanoid robots: theory and experiments

    Direction-changing fall control of humanoid robots: theory and experiments by Goswami, Ambarish, Yun, Seung-kook, Nagarajan, Umashankar, Lee, Sung-Hee, Yin, KangKang, Kalyanakrishnan, Shivaram

    Published in Autonomous robots
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  5. 5
    AI's 10 to Watch

    AI's 10 to Watch by Aziz, Haris, Bareinboim, Elias, Choi, Yejin, Hsu, Daniel, Kalyanakrishnan, Shivaram, Meir, Reshef, Saria, Suchi, Simari, Gerardo I., Xia, Lirong, Yeoh, William

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  6. 6
    Optimal Stopping Rules for Best Arm Identification in Stochastic Bandits under Uniform Sampling

    Optimal Stopping Rules for Best Arm Identification in Stochastic Bandits under Uniform Sampling by Gupta, Vedang, Gadhia, Yash, Kalyanakrishnan, Shivaram, Karamchandani, Nikhil

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  7. 7
    Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory

    Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory by Roy Chaudhuri, Arghya, Kalyanakrishnan, Shivaram

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  8. 8
    Lower Bounds for Policy Iteration on Multi-action MDPs

    Lower Bounds for Policy Iteration on Multi-action MDPs by Ashutosh, Kumar, Consul, Sarthak, Dedhia, Bhishma, Khirwadkar, Parthasarathi, Shah, Sahil, Kalyanakrishnan, Shivaram

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  9. 9
    PAC Identification of a Bandit Arm Relative to a Reward Quantile

    PAC Identification of a Bandit Arm Relative to a Reward Quantile by Roy Chaudhuri, Arghya, Kalyanakrishnan, Shivaram

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  10. 10
    Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory

    Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory by Arghya Roy Chaudhuri, Kalyanakrishnan, Shivaram

    Published in arXiv.org
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  11. 11
    PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits

    PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits by Arghya Roy Chaudhuri, Kalyanakrishnan, Shivaram

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  12. 12
    Randomised Procedures for Initialising and Switching Actions in Policy Iteration

    Randomised Procedures for Initialising and Switching Actions in Policy Iteration by Kalyanakrishnan, Shivaram, Misra, Neeldhara, Gopalan, Aditya

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  13. 13
    Some Upper Bounds on the Running Time of Policy Iteration on Deterministic MDPs

    Some Upper Bounds on the Running Time of Policy Iteration on Deterministic MDPs by Goenka, Ritesh, Gupta, Eashan, Khyalia, Sushil, Agarwal, Pratyush, Mulinti, Shaik Wajid, Kalyanakrishnan, Shivaram

    Published in arXiv.org
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  14. 14
    Predicting Falls of a Humanoid Robot through Machine Learning

    Predicting Falls of a Humanoid Robot through Machine Learning by Kalyanakrishnan, Shivaram, Goswami, Ambarish

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  15. 15
    An Analysis of Frame-skipping in Reinforcement Learning

    An Analysis of Frame-skipping in Reinforcement Learning by Kalyanakrishnan, Shivaram, Aravindan, Siddharth, Bagdawat, Vishwajeet, Bhatt, Varun, Goka, Harshith, Gupta, Archit, Krishna, Kalpesh, Piratla, Vihari

    Published in arXiv.org
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  16. 16
    Lower Bounds for Policy Iteration on Multi-action MDPs

    Lower Bounds for Policy Iteration on Multi-action MDPs by Kumar, Ashutosh, Consul, Sarthak, Dedhia, Bhishma, Khirwadkar, Parthasarathi, Shah, Sahil, Kalyanakrishnan, Shivaram

    Published in arXiv.org
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  17. 17
    PAC Mode Estimation using PPR Martingale Confidence Sequences

    PAC Mode Estimation using PPR Martingale Confidence Sequences by Shubham Anand Jain, Shah, Rohan, Gupta, Sanit, Mehta, Denil, Inderjeet Jayakumar Nair, Vora, Jian, Khyalia, Sushil, Das, Sourav, Ribeiro, Vinay J, Kalyanakrishnan, Shivaram

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  18. 18
    Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

    Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence by Stone, Peter, Brooks, Rodney, Brynjolfsson, Erik, Calo, Ryan, Etzioni, Oren, Hager, Greg, Hirschberg, Julia, Kalyanakrishnan, Shivaram, Kamar, Ece, Kraus, Sarit, Leyton-Brown, Kevin, Parkes, David, Press, William, Saxenian, AnnaLee, Shah, Julie, Tambe, Milind, Teller, Astro

    Published in arXiv.org
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  19. 19
    Characterizing Reinforcement Learning Methods through Parameterized Learning Problems

    Characterizing Reinforcement Learning Methods through Parameterized Learning Problems by Kalyanakrishnan,Shivaram, Stone,Peter

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  20. 20
    On learning with imperfect representations

    On learning with imperfect representations by Kalyanakrishnan, S., Stone, P.

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