<prompt> Hlalosa phallo ea leruu la thuto ea matlafatso.nan  <response>: Instruction in English: Explain the flow of a reinforcement learning loop. . Response in English: In a reinforcement learning loop, an agent interacts with an environment, making sequential decisions based on current observations or states. The goal is to learn a policy that maps these observations to actions, which maximizes the cumulative reward over time. The basic steps are as follows:1. Observation: The agent starts by observing the environment to obtain the current state. It may be a full description of the environment or a partial observation.2. Decision: Based on the observation, the agent then decides on an action to take from a set of possible actions. This decision is made according to the agents current policy, which is a function that maps states to actions.3. Action: The agent takes the selected action, and this changes the state of the environment.4. Reward: Upon taking the action, the agent receives immediate feedback in the form of a reward or penalty that reflects how well the action contributed towards achieving its goal.5. Learning: The agent uses the observed reward and the updated state to learn or refine its policy, so that it can make better decisions when encountering similar situations in the future. This learning can be done through various methods such as Q-learning, SARSA, Monte-Carlo, or Temporal-Difference learning.The loop then repeats - the agent observes the new state of the environment and continues to make decisions, take actions, and learn from the feedback received. Through these repeated interactions, the agents policy improves over time and it learns to effectively maximize its long-term reward. . Response in Sesotho: Thupelong ea matlafatso ea thuto, moemeli o sebelisana le tikoloho, a etsa liqeto tse latellanang tse ipapisitseng le litebello tsa hajoale kapa linaha. Sepheo ke ho ithuta leano le tsamaisang litebello tsena ho isa liketsong, e leng ho eketsang meputso e ntseng e eketseha ha nako e ntse e ea. Mehato ea mantlha ke e latelang: 1. Tlhokomeliso: Moemeli o qala ka ho sheba tikoloho ho fumana boemo ba hona joale. E ka ba tlhaloso e felletseng ea tikoloho kapa tebello e sa fellang. 2. Qeto: Ho ipapisitsoe le tlhokomeliso, moemeli joale o etsa qeto ka ketso eo a ka e nkang ho tsoa sehlopheng sa liketso tse ka etsahalang. Qeto ena e etsoa ho latela leano la ha joale la moemeli, e leng mosebetsi o hlalosang liketso. 3. Ketso: Moemeli o nka khato e khethiloeng, me sena se fetola boemo ba tikoloho. 4. Moputso: Ka mora ho nka khato, moemeli o fumana maikutlo a hang-hang ka mokhoa oa moputso kapa kotlo e bontšang hore na ketso e tlatselitse hakae ho finyella sepheo sa eona. 5. Ho Ithuta: Moemeli o sebelisa moputso o hlokometsoeng le boemo bo nchafalitsoeng ho ithuta kapa ho ntlafatsa pholisi ea eona, e le hore e ka etsa liqeto tse molemo ha e kopana le maemo a tšoanang nakong e tlang. Thuto ena e ka etsoa ka mekhoa e fapaneng e kang Q-learning, SARSA, Monte-Carlo, kapa Temporal-Difference learning. Loop ebe e pheta-pheta - moemeli o sheba boemo bo bocha ba tikoloho mme o tsoela pele ho etsa liqeto, ho nka mehato, le ho ithuta ho tsoa ho maikutlo a amohetsoeng. Ka litšebelisano tsena tse pheta-phetoang, pholisi ea moemeli e ntlafala ha nako e ntse e ea me e ithuta ho eketsa moputso oa eona oa nako e telele ka katleho. 