Files
lerobot/docs/source/_toctree.yml
T
Pepijn f04958527e Add sarm (#2639)
* add initial modeling

* make rewind pretrained policy

* add annotation

* small fix

* add sarm

* subtasks

* fix spawn

* fix rewind discrepancies

* Add script to generate embedding for dataset (#2138)

* Add generate and validate script

* fix precommit

* Improve generate embeddings function by using dataset tools (#2206)

---------

Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co>

* cleanup

* change order train log

* print batch size

* update sarm processor

* add reward output

* change expected features

* add image validation

* change validation

* get state input from dataset stats

* raise if no state key is found

* pass stats

* cleanup and refactor

* add episode inddex to complementary data

* add subtask init and detection

* revert lerobot_train changes

* pass dataset metadata to policy

* change loadig subtasks

* add small logging

* fix progress conversion and adding initial frame

* use large offset for initial frame (ugly)

* Remove rewind, use clip tokenizer

* add tests, implement formula 1,2 correctly and cleanup

* use task from dataset, cleanup visualizer

* simplify

* simplify and cleanup code and move compute_temporal_proportions to utils

* fix normalization in visualization

* Fix visualization and change prompt

* fix formatting

* add visualize subtask annotations

* use qwen thinking

* try different prompt

* format

* update prompt

* higher temp, long output

* different settings

* use instruct

* show full resp

* split message

* Temp: increase tolerance dataset

* Fix RA-BC (#2572)

* Add next observation loading for RA-BC progress deltas

* Compute weights based on temporal progress deltas instead of static rewards

* Add hard-masking for negative progress deltas in weight computation

* Feat/add dual head (#2582)

* Add dual dense sparse head and annotation

* Add docs

* add dual to procesor

* cleanup

* change sampling in visualize and cleanup

* remove validation

* remove compile

* Feat/test uniform (#2587)

* test uniform

* add different string for misaligned

* Fix rewind and add tests

* uncomment text implementation

* run precommit

* Add head mode for ra-bc

* fix visalization of single task

* add

* return per sample loss

* Fix RA_BC (#2602)

* update rabc implementation

* compute rabc beforehand

* fix import

* add only progress calulation

* use precomputed progress

* multi gpu processing

* import

* fix dataset meta data extraction

* add logging

* logging

* log

* progress per episode

* split differently

* move clip to gpu

* pre decode frames for an episode

* fix cuda initalization

* fix import

* multi processing

* rename

* fix import

* fix

* fix rabc

* use last known progress if oob

* use last known progress if oob

* add misalignment loss with random embeddings

* discard previous changes

* add selection of models to docs for ra_bc

* add transformers dep

* extend tolerance

* initial commit with new codebase

* add tests

* fix

* remove temporal sampler

* drop last frame for sampler

* use original ref

* some fixes

* fix visualization

* remove smoothing and fix order subtasks

* add stride rabc computation

* add push to hub

* add explanation

* add kappa expllaination

* better rabc logging

* feedback pr

* remove dataset tolerance

* revert dataset tool

* revert dataset changes

* add credit

* run precommit

* change path for generate ra_bc

* fix type

* include sarm in all in pyproject

* fix precommit

* lazy import matplotlib

* lazy import qwen

* remove rich console

* skip if transformers is not installed?

* run only when we have faker

* place transformer lazy loading

* Dont test if low transformer version

* fix

* increase transformer

* increase as 4.57.0 is yanked

* remove pi from all

* go back

---------

Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co>
Co-authored-by: s1lent4gnt <kmeftah.khalil@gmail.com>
2025-12-18 12:50:32 +01:00

115 lines
2.7 KiB
YAML

- sections:
- local: index
title: LeRobot
- local: installation
title: Installation
title: Get started
- sections:
- local: il_robots
title: Imitation Learning for Robots
- local: cameras
title: Cameras
- local: bring_your_own_policies
title: Bring Your Own Policies
- local: integrate_hardware
title: Bring Your Own Hardware
- local: hilserl
title: Train a Robot with RL
- local: hilserl_sim
title: Train RL in Simulation
- local: multi_gpu_training
title: Multi GPU training
title: "Tutorials"
- sections:
- local: lerobot-dataset-v3
title: Using LeRobotDataset
- local: porting_datasets_v3
title: Porting Large Datasets
- local: using_dataset_tools
title: Using the Dataset Tools
title: "Datasets"
- sections:
- local: act
title: ACT
- local: smolvla
title: SmolVLA
- local: pi0
title: π₀ (Pi0)
- local: pi05
title: π₀.₅ (Pi05)
- local: groot
title: NVIDIA GR00T N1.5
- local: xvla
title: X-VLA
title: "Policies"
- sections:
- local: sarm
title: SARM
title: "Reward Models"
- sections:
- local: async
title: Use Async Inference
- local: rtc
title: Real-Time Chunking (RTC)
title: "Inference"
- sections:
- local: envhub
title: Environments from the Hub
- local: envhub_leisaac
title: Control & Train Robots in Sim (LeIsaac)
- local: libero
title: Using Libero
- local: metaworld
title: Using MetaWorld
title: "Simulation"
- sections:
- local: introduction_processors
title: Introduction to Robot Processors
- local: debug_processor_pipeline
title: Debug your processor pipeline
- local: implement_your_own_processor
title: Implement your own processor
- local: processors_robots_teleop
title: Processors for Robots and Teleoperators
- local: env_processor
title: Environment Processors
title: "Robot Processors"
- sections:
- local: so101
title: SO-101
- local: so100
title: SO-100
- local: koch
title: Koch v1.1
- local: lekiwi
title: LeKiwi
- local: hope_jr
title: Hope Jr
- local: reachy2
title: Reachy 2
- local: unitree_g1
title: Unitree G1
- local: earthrover_mini_plus
title: Earth Rover Mini
title: "Robots"
- sections:
- local: phone_teleop
title: Phone
title: "Teleoperators"
- sections:
- local: torch_accelerators
title: PyTorch accelerators
title: "Supported Hardware"
- sections:
- local: notebooks
title: Notebooks
- local: feetech
title: Updating Feetech Firmware
title: "Resources"
- sections:
- local: contributing
title: Contribute to LeRobot
- local: backwardcomp
title: Backward compatibility
title: "About"