BY571/Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
This collection provides pre-built solutions for training autonomous agents in various simulated environments, such as robotics, game playing, or control systems. It takes in environment observations and desired outcomes, and outputs optimized decision-making policies. This is for machine learning engineers, AI researchers, or data scientists working on advanced AI training.
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Use this if you need to quickly implement and experiment with a wide range of established deep reinforcement learning algorithms for building AI agents.
Not ideal if you are a beginner looking for a simple, high-level API to apply basic reinforcement learning to a straightforward problem without diving into algorithm specifics.
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Oct 25, 2020
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