For deep RL and the future of AI.
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Updated
Mar 1, 2024 - HTML
For deep RL and the future of AI.
A curated list of awesome Inverse Reinforcement Learning resources.
Designed and implemented a gradient-based steering algorithm for Markovian agents that infers the exact reward function needed to reproduce a specified target spatial distribution. Built from scratch in Python (NumPy), explicitly linking optimal control dynamics with probabilistic inference.
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