Finding a good reward function for optimal policy in reinforcement learning is often challenging, and Inverse Reinforcement Learning(IRL) handles this limitation very well. In IRL, we try to find the agent’s objective, optimal reward function based on behaviour or demonstration from the past and bootstrap the learning process. In this article, we are going to…

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