Understanding DQN+HER

In this blog we give insights into the working of DQN (Deep Q-Networks) and HER (Hindsight Experience Replay) One of the main challenges in reinforcement learning is efficiently learning from rewards that are sparse and binary. Such kind of rewards are particularly useful in robotics. You might have heard of the Google Deepmindā€™s game playing... Continue Reading →

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