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  2. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised ...

  3. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    The way an agent is rewarded or punished depends heavily on the problem; such as giving an agent a positive reward for winning a game or a negative one for losing. Reinforcement learning is used heavily in the field of machine learning and can be seen in methods such as Q-learning, policy search, Deep Q-networks and others

  4. Reward hacking - Wikipedia

    en.wikipedia.org/wiki/Reward_hacking

    In a 2004 paper, a reinforcement learning algorithm was designed to encourage a physical Mindstorms robot to remain on a marked path. Because none of the robot's three allowed actions kept the robot motionless, the researcher expected the trained robot to move forward and follow the turns of the provided path.

  5. What the hell is reinforcement learning and how does it work?

    www.aol.com/hell-reinforcement-learning-does...

    Reinforcement learning is a behavioral learning model where the algorithm provides data analysis feedback, directing the user to the best result. It enables an agent to learn through the ...

  6. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning .

  7. Matchbox Educable Noughts and Crosses Engine - Wikipedia

    en.wikipedia.org/wiki/Matchbox_Educable_Noughts...

    For example, at the start of a game, this would be the matchbox for an empty grid. The tray would be removed and lightly shaken so as to move the beads around. [ 4 ] Then, the bead that had rolled into the point of the "V" shape at the front of the tray was the move MENACE had chosen to make. [ 4 ]

  8. Multi-agent reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Multi-agent_reinforcement...

    Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared environment. [ 1 ] Each agent is motivated by its own rewards, and does actions to advance its own interests; in some environments these interests are opposed to the ...

  9. Husky's Jealousy Over Puppy Getting Treats Is Cutest Sibling ...

    www.aol.com/huskys-jealousy-over-puppy-getting...

    This video shows the ongoing struggle of being an older sibling. Tony, the grown Siberian Husky, is giving serious side-eye to his young Golden Retriever puppy brother, Roger.