Showing 201-220 of 323 projects
A deep reinforcement learning library for developing AI agents using neuroevolution.
A lightweight suite of motion imitation methods for training controllers.
An open-source deep reinforcement learning library that combines several state-of-the-art improvements.
A modular full-stack reinforcement learning library for large language models (LLMs).
A collection of reference environments for offline reinforcement learning in Python.
Assignments for a deep reinforcement learning course, focused on AI and machine learning
An offline deep reinforcement learning library for Python developers working on AI-powered applications.
Open-source reinforcement learning code for training the AgiBot X1, a robotics platform for AI developers.
Open-source codebase for a paper on using evolution strategies for scalable reinforcement learning.
verl-agent is a Python framework for training LLM/VLM agents using reinforcement learning.
A curated list of papers on Agential Language Models and Reinforcement Learning for AI developers.
A safe reinforcement learning from human feedback (RLHF) system for aligning large language models with human values.
A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.
A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.
A powerful benchmark for Monte Carlo Tree Search in sequential decision-making scenarios.
ChatArena is a multi-agent language game environment for developing communication and collaboration capabilities of AI models.
Free reinforcement learning course that takes developers from zero to pro using Jupyter Notebooks.
A curated list of Diffusion Model in RL resources for developers working with AI tools.
A collection of experiments to investigate core capabilities of reinforcement learning agents.
A curated list of resources for deep reinforcement learning and the future of AI.
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