2 个仓库
Awesome GitHub RepositoriesDDPG Implementations
Implementations of the Deep Deterministic Policy Gradient algorithm for continuous action spaces.
Distinct from Policy Gradient Methods: Specific implementation of DDPG, whereas the parent covers general policy gradient methods.
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Awesome DDPG Implementations GitHub Repositories
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- openai/baselines
openai/baselines
16,733在 GitHub 上查看Baselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation learning, and training orchestration. It provides a library of standardized learning algorithms used to benchmark and replicate research results, alongside a deep learning policy framework for constructing neural network architectures such as multi-layer perceptrons, convolutional networks, and long short-term memory networks. The project includes a specialized imitation learning toolkit that enables agents to mimic expert behavior through behavior cloning and generative adversarial
Executes the deep deterministic policy gradient algorithm to optimize policies in specified environments.
Python - udacity/deep-reinforcement-learning
udacity/deep-reinforcement-learning
5,169在 GitHub 上查看本项目是一个深度强化学习课程，提供用于掌握基于神经网络的代理的教育材料与实现练习。它作为一个框架，用于构建基于价值与基于策略的方法的参考版本，以解决序列决策问题。 该项目为连续控制模拟与多智能体强化学习提供了具体实现，其中代理被训练在共享环境中合作或竞争。它包含一个用于通过 REINFORCE 等方法优化代理行为的策略梯度框架。 能力涵盖了广泛的优化算法，包括深度 Q 学习、确定性策略梯度以及用于马尔可夫决策过程（MDP）建模的动态规划。该系统支持各种训练领域，如机器人导航、金融交易自动化与基于物理的模拟。 材料以一系列 Jupyter Notebooks 的形式交付。
Implements the Deep Deterministic Policy Gradient algorithm for solving continuous control tasks in physics environments.
Jupyter Notebookcross-entropyddpgdeep-reinforcement-learning
