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Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. Image generated by midjourney Table of Content · Introduction· Policy Gradient Method ∘ Derivation ∘ Optimization ∘ The Algorithm· PyTorch Implementation ∘ Networks ∘ Training Loop (Main algorithm) ∘ Training Results· Conclusion· References Introduction …
Taking a Walk in the OpenAI Gym: Using Decision Transformer to Power Reinforcement Learning
Author(s): Brent Larzalere Originally published on Towards AI. Perform Deep Reinforcement Learning using the Decision Transformer deepmind-lISkvdgfLEk-unsplash This article will describe how to use a decision transformer model to perform deep reinforcement learning in the OpenAI gym. PyTorch will be used …
MuZero: Master Board and Atari Games with The Successor of AlphaZero
Author(s): Sherwin Chen Reinforcement Learning A gentle introduction to MuZero Image by FelixMittermeier from Pixabay Introduction Although model-free reinforcement learning algorithms have shown great potential in solving many challenging tasks, such as StarCraft and Dota, they are still far from state of the art …
Dreamer: A State-of-the-art Model-Based Reinforcement Learning Agent
Author(s): Sherwin Chen Reinforcement Learning A brief walk-through of a state-of-the-art model-based reinforcement learning algorithm Image by Leandro De Carvalho from Pixabay We discuss a model-based reinforcement learning agent called Dreamer, proposed by Hafner et al. at DeepMind that achieves state-of-the-art performance on …
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