In this work, we build on recent advances in distributional reinforcement learning to give a generally applicable, flexible, and state-of-the-art distributional variant of DQN.
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A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Experience replay lets online reinforcement learning agents remember and reuse experiences from the past.
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We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources.
In this work we identify the dormant neuron phenomenon in deep reinforcement learning, where an agent's network suffers from an increasing number of inactive neurons, thereby affecting network expressivity.