Showing 121-140 of 201 projects
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
RoboVerse is a unified platform, dataset, and benchmark for scalable and generalizable robot learning.
A curated collection of AI-related books and resources for developers to learn and experiment with AI concepts.
A deep reinforcement learning library for developing AI agents using neuroevolution.
A lightweight suite of motion imitation methods for training controllers.
Open-source reinforcement learning code for training the AgiBot X1, a robotics platform for AI developers.
verl-agent is a Python framework for training LLM/VLM agents using reinforcement learning.
A safe reinforcement learning from human feedback (RLHF) system for aligning large language models with human values.
A powerful benchmark for Monte Carlo Tree Search in sequential decision-making scenarios.
Free reinforcement learning course that takes developers from zero to pro using Jupyter Notebooks.
A curated list of resources for deep reinforcement learning and the future of AI.
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.
Reference Jupyter notebooks and demo AI/ML applications for enterprise use cases
A collection of concise and beautiful algorithms written in the Julia programming language.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
A comprehensive implementation of all reinforcement learning algorithms in a simpler way.
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
TextWorld is a sandbox learning environment for training and evaluating reinforcement learning agents on text-based games.
TorchCraft is a library that connects the Torch deep learning framework to the StarCraft game engine, enabling AI research and development.
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