Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
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Updated
Dec 2, 2024 - TeX
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Modeling agents with probabilistic programs
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Repository for double learning rate experiments
Reinforcement Learning Project CS6700. Designing the required function to compute complex operations using matrix manipulation.
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