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Reinforcement Learning (RL) Skill Set Understanding of Sequential Decision MakingRL focuses on agents making a series of decisions to maximize cumulative reward.Requires knowledge of Markov Decision Processes (MDPs), policy/value functions, and Bellman equations.Algorithmic Expertise in RLFamiliarity with algorithms like:Q-learning, SARSADeep Q-Networks (DQN)Policy Gradient methods (REINFORCE, PPO, A3C, DDPG, SAC)Experience tuning exploration vs. exploitation strategies.Simulation and Environmen
Easy Apply
Contract, Third Party
Depends on Experience