Shypd.aiThe largest open index of AI toolsTrajectory Transformer is an open-source AI framework for offline reinforcement learning, enabling researchers and developers to model complex sequence problems. It provides code for training and planning with transformer models, based on a recent research paper.
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Trajectory Transformer is an open-source code release that implements offline reinforcement learning as a sequence modeling problem. Based on the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem," this tool provides a framework for training models to predict trajectories. It includes scripts for training transformers on various datasets and for planning with these models. The project also offers pretrained models for multiple datasets, allowing users to quickly experiment and reproduce results. It supports installation via conda or Docker, and provides utilities for running jobs on Azure, making it suitable for researchers and engineers in reinforcement learning and robotics.
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