Lists (6)
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Official implementation of "NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows"
cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning
Official implementation of "Latent Action Learning Requires Supervision in the Presence of Distractors", ICML 2025
[ICML 2025 GenBio Workshop] Official Implementation for "Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials"
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025
MLGym A New Framework and Benchmark for Advancing AI Research Agents
The official implementation of flow Q-learning (FQL)
Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
Machine Learning library for the emerging Mojo/Python ecosystem
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025
TORAX: Tokamak transport simulation in JAX
A JAX research toolkit for building, editing, and visualizing neural networks.
[NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
Foundation Policies with Hilbert Representations (ICML 2024)
Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"
Because we don't have enough time to read everything
Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"