Showing 141-160 of 201 projects
An open-source package that allows game creators, AI researchers and hobbyists to build complex behaviors for non-player characters or agents.
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
A high-performance, AI-powered Riichi Mahjong engine written in Rust for developers interested in game AI.
A gym for reinforcement learning with verifiable rewards, focusing on reasoning and language models.
A curated list of awesome robotics libraries and tools for developers interested in robotics and automation.
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 StarCraft II multi-agent reinforcement learning benchmark for developing AI agents.
A C++ library for learning safe flight in dynamic environments using reinforcement learning and the NVIDIA Isaac Sim.
Overview of modern deep learning techniques applied to natural language processing
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
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.
A high-performance parallel environment execution engine for reinforcement learning environments.
PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.
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