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Demystifying Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
With the advent of universal function approximators in the domain of reinforcement learning, the number of practical applications leveraging deep reinforcement learning (DRL) has exploded.
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing
As a result, MBRL agents may converge to sub-optimal policies if the world model is inaccurate.
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