Post training methods in LLM using RL

Sat, 23 Aug 2025 00:00:00 +0000

Maths

Reinforcement learning, here the agent takes / decides some action to take based on the current state and other variables present at timestep t, and then its takes that action and a reward is followed and weights are updated based on the rewards received by model

Consider this basic hello world example of RL

State : Any place / position where the agent can be

Action : Up , down , left , right these are the action the agent can take

DL on Mohit Dulani

Post training methods in LLM using RL

Maths