Top Repositories
Suite of Gymnasium environments for optimizing breeding programs.
Tensorflow model for semantic segmentation of food.
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)
A differentiable physics engine and multibody dynamics library for control and robot learning.
Repositories
51A differentiable physics engine and multibody dynamics library for control and robot learning.
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
Tensorflow model for semantic segmentation of food.
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WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
🌎💪 BrowserGym, a Gym environment for web task automation
Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
An elegant PyTorch deep reinforcement learning library.
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
GFlowNet library
Optax is a gradient processing and optimization library for JAX.
Simple and easily configurable grid world environments for reinforcement learning
Suite of Gymnasium environments for optimizing breeding programs.
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)
An offline deep reinforcement learning library
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Gym for multi-agent reinforcement learning
A small and fast image rescaling library with SIMD support
Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments
Scripts to recreate the D4RL datasets with Minari
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Run pytest on markdown code fence blocks
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