pytorch-DRL: Pytorch-madrl provides modular PyTorch implementations for a range of Deep Reinforcement Learning (DRL) algorithms, suitable for both single and multi-agent systems. It features a unified agent interface with components for environment interaction, training, and action selection to promote code reusability across different DRL methods.; adk-python: ADK (Agent Development Kit) is an open-source, code-first Python framework designed for building, evaluating, and deploying sophisticated AI agents with high flexibility and control. It simplifies the creation and orchestration of agent workflows, supporting everything from simple tasks to complex multi-agent systems, while being model and deployment agnostic.
Developing and experimenting with various deep reinforcement learning algorithms
Building and deploying sophisticated AI agents from simple tasks to complex systems.