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Results 1 - 10 of 8,076 for Sutton (3.9 sec)

  1. gym/envs/classic_control/acrobot.py

            are present in the book. R. Sutton confirmed in personal correspondence
            that the experimental results shown in the paper and the book were
            generated with the equations shown in the book.
            However, there is the option to run the domain with the paper equations
            by setting book_or_nips = 'nips'
        **REFERENCE:**
        .. seealso::
            R. Sutton: Generalization in Reinforcement Learning:
    Python
    - Registered: 2021-01-25 00:49
    - Last Modified: 2020-04-24 21:10
    - 10.7K bytes
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  2. plugins/guests/darwin/guest.rb

    require "vagrant"
    
    module VagrantPlugins
      module GuestDarwin
        # A general Vagrant system implementation for OS X (ie. "Darwin").
        #
        # Contributed by: - Brian Johnson <******@****.***>
        #                 - Tim Sutton <******@****.***>
        class Guest < Vagrant.plugin("2", :guest)
          def detect?(machine)
            machine.communicate.test("uname -s | grep 'Darwin'")
          end
        end
      end
    Ruby
    - Registered: 2021-01-25 14:15
    - Last Modified: 2016-06-06 15:58
    - 413 bytes
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  3. gym/envs/classic_control/cartpole.py

    """
    Classic cart-pole system implemented by Rich Sutton et al.
    Copied from http://incompleteideas.net/sutton/book/code/pole.c
    permalink: https://perma.cc/C9ZM-652R
    """
    
    import math
    import gym
    from gym import spaces, logger
    from gym.utils import seeding
    import numpy as np
    
    
    class CartPoleEnv(gym.Env):
        """
        Description:
            A pole is attached by an un-actuated joint to a cart, which moves along
    Python
    - Registered: 2021-01-25 00:49
    - Last Modified: 2020-06-19 22:18
    - 7.9K bytes
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  4. gym/envs/toy_text/blackjack.py

        and whether or not the player holds a usable ace (0 or 1).
    
        This environment corresponds to the version of the blackjack problem
        described in Example 5.1 in Reinforcement Learning: An Introduction
        by Sutton and Barto.
        http://incompleteideas.net/book/the-book-2nd.html
        """
        def __init__(self, natural=False):
            self.action_space = spaces.Discrete(2)
            self.observation_space = spaces.Tuple((
    Python
    - Registered: 2021-01-25 00:49
    - Last Modified: 2020-11-09 18:24
    - 3.9K bytes
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  5. gym/envs/toy_text/cliffwalking.py

        """
        This is a simple implementation of the Gridworld Cliff
        reinforcement learning task.
    
        Adapted from Example 6.6 (page 106) from Reinforcement Learning: An Introduction
        by Sutton and Barto:
        http://incompleteideas.net/book/bookdraft2018jan1.pdf
    
        With inspiration from:
        https://github.com/dennybritz/reinforcement-learning/blob/master/lib/envs/cliff_walking.py
    
    Python
    - Registered: 2021-01-25 00:49
    - Last Modified: 2020-11-09 18:24
    - 4K bytes
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  6. gym/envs/classic_control/continuous_mountain_car.py

    of Jose Antonio Martin H. (version 1.0), adapted by  'Tom Schaul, ******@****.***'
    and then modified by Arnaud de Broissia
    
    * the OpenAI/gym MountainCar environment
    itself from
    http://incompleteideas.net/sutton/MountainCar/MountainCar1.cp
    permalink: https://perma.cc/6Z2N-PFWC
    """
    
    import math
    
    import numpy as np
    
    import gym
    from gym import spaces
    from gym.utils import seeding
    
    
    Python
    - Registered: 2021-01-25 00:49
    - Last Modified: 2020-04-10 22:27
    - 5.5K bytes
    - Viewed (0)
  7. .github/actions/high-priority-prs/src/process-data.js

        slackUsername: "@Sid",
      },
      "https://github.com/jlengstorf": {
        name: "Jason Lengstorf",
        slackUsername: "@jlengstorf",
      },
      "https://github.com/marcysutton": {
        name: "Marcy Sutton",
        slackUsername: "@marcysutton",
      },
      "https://github.com/ChristopherBiscardi": {
        name: "Chris Biscardi",
        slackUsername: "@biscarch",
      },
      "https://github.com/LekoArts": {
    JavaScript
    - Registered: 2021-01-25 17:52
    - Last Modified: 2020-01-27 12:43
    - 6.7K bytes
    - Viewed (0)
  8. gym/envs/classic_control/mountain_car.py

    """
    http://incompleteideas.net/sutton/MountainCar/MountainCar1.cp
    permalink: https://perma.cc/6Z2N-PFWC
    """
    import math
    
    import numpy as np
    
    import gym
    from gym import spaces
    from gym.utils import seeding
    
    
    class MountainCarEnv(gym.Env):
        """
        Description:
            The agent (a car) is started at the bottom of a valley. For any given
            state the agent may choose to accelerate to the left, right or cease
    Python
    - Registered: 2021-01-25 00:49
    - Last Modified: 2020-06-19 21:13
    - 6K bytes
    - Viewed (0)
  9. src/app/@core/mock/smart-table.service.ts

      }, {
        'id': 26,
        'firstName': 'Pruitt',
        'lastName': 'Shepard',
        'username': '@Sloan',
        'email': '******@****.***',
        'age': 44,
      }, {
        'id': 27,
        'firstName': 'Sutton',
        'lastName': 'Ortega',
        'username': '@Black',
        'email': '******@****.***',
        'age': 42,
      }, {
        'id': 28,
        'firstName': 'Marion',
        'lastName': 'Heath',
    Plain Text
    - Registered: 2021-01-25 00:23
    - Last Modified: 2019-01-18 13:25
    - 9.2K bytes
    - Viewed (0)
  10. tests/fixtures/tests_samples/xsum/sample.json

    {"document": "The...
    Json
    - Registered: 2021-01-24 10:36
    - Last Modified: 2021-01-19 20:22
    - 15.2K bytes
    - Viewed (0)
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