Showing 241-260 of 323 projects
A curated list of awesome robotics libraries and tools for developers interested in robotics and automation.
An open-source AI platform for training and deploying AI agents for StarCraft II, with distributed training and grandmaster-level performance.
ReCall is a library for training large language models (LLMs) to reason and use tools via reinforcement learning.
Modular deep reinforcement learning framework in PyTorch for building AI-powered applications.
PyTorch implementation of state-of-the-art reinforcement learning algorithms for vibe coders.
A collection of high-quality, single-file implementations of state-of-the-art offline and offline-to-online reinforcement learning algorithms.
A C++ library for learning safe flight in dynamic environments using reinforcement learning and the NVIDIA Isaac Sim.
A StarCraft II multi-agent reinforcement learning benchmark for developing AI agents.
Overview of modern deep learning techniques applied to natural language processing
An on-device GUI agent for operating Android apps, enhancing reasoning ability for efficient task execution.
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
This GitHub repository is a curated list of reinforcement learning environments, which can be useful for AI and ML researchers and developers.
Minimal Deep Q Learning (DQN & DDQN) implementations in Python using the Keras library for reinforcement learning.
A repository for reinforcement learning (RL) implementations using PyTorch.
A curated list of awesome resources for model-based reinforcement learning.
A chatbot framework for the finance and legal domains, with NLU, NLG, and knowledge graph capabilities.
Tools for training and deploying reinforcement learning models on the Unitree Go1 robot in a sim-to-real setting.
Replicable multi-agent reinforcement learning library with support for PyTorch, Ray, and RLlib.
IDE for coordinating multi-agent AI swarms with support for various LLMs like Kimi-2.5 and GLM-4.7
A hands-on guide to deep reinforcement learning using Python and popular frameworks like OpenAI Gym.
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