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user/michel_aractingi/2024-04-04-grasp-critic
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v0.3.2
v0.3.3
v0.4.0
v0.4.1
v0.4.2
v0.4.3
v0.4.4
v0.5.0
v0.5.1
-
66816fd871
Enhance SAC configuration and policy with gradient clipping and temperature management
AdilZouitine
2025-03-17 10:50:28 +00:00 -
599326508f
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot]
2025-03-12 10:16:54 +00:00 -
2f04d0d2b9
Add custom save and load methods for SAC policy
AdilZouitine
2025-03-12 10:15:37 +00:00 -
e002c5ec56
Remove torch.no_grad decorator and optimize next action prediction in SAC policy
AdilZouitine
2025-03-10 10:31:38 +00:00 -
3dfb37e976
[Port HIL-SERL] Balanced sampler function speed up and refactor to align with train.py (#715)
s1lent4gnt
2025-03-12 10:35:30 +01:00 -
b6a2200983
[HIL-SERL] Migrate threading to multiprocessing (#759)
Eugene Mironov
2025-03-05 17:19:31 +07:00 -
85fe8a3f4e
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot]
2025-03-04 13:38:47 +00:00 -
bb69cb3c8c
Add storage device configuration for SAC policy and replay buffer
AdilZouitine
2025-03-04 13:22:35 +00:00 -
ae51c19b3c
Add memory optimization option to ReplayBuffer
AdilZouitine
2025-02-25 19:04:58 +00:00 -
9ea79f8a76
Add storage device parameter to replay buffer initialization
AdilZouitine
2025-02-25 15:30:39 +00:00 -
1d4ec50a58
Refactor ReplayBuffer with tensor-based storage and improved sampling efficiency
AdilZouitine
2025-02-25 14:26:44 +00:00 -
4c73891575
Update ManiSkill configuration and replay buffer to support truncation and dataset handling
AdilZouitine
2025-02-24 16:53:37 +00:00 -
d3b84ecd6f
Added caching function in the learner_server and modeling sac in order to limit the number of forward passes through the pretrained encoder when its frozen. Added tensordict dependencies Updated the version of torch and torchvision
Michel Aractingi
2025-02-21 10:13:43 +00:00 -
e1d55c7a44
[Port HIL-SERL] Adjust Actor-Learner architecture & clean up dependency management for HIL-SERL (#722)
Eugene Mironov
2025-02-21 16:29:00 +07:00 -
85242cac67
Refactor SAC policy with performance optimizations and multi-camera support
AdilZouitine
2025-02-20 17:14:27 +00:00 -
0d88a5ee09
- Fixed big issue in the loading of the policy parameters sent by the learner to the actor -- pass only the actor to the
update_policy_parametersand removestrict=False- Fixed big issue in the normalization of the actions in theforwardfunction of the critic -- remove thetorch.no_graddecorator innormalize.pyin the normalization function - Fixed performance issue to boost the optimization frequency by setting the storage device to be the same as the device of learning.
Michel Aractingi
2025-02-19 16:22:51 +00:00 -
62e237bdee
Re-enable parameter push thread in learner server
AdilZouitine
2025-02-17 10:26:33 +00:00 -
c85f88fb62
Improve wandb logging and custom step tracking in logger
AdilZouitine
2025-02-17 10:08:49 +00:00 -
a90f4872f2
Add maniskill support. Co-authored-by: Michel Aractingi <michel.aractingi@gmail.com>
AdilZouitine
2025-02-14 19:53:29 +00:00 -
a16ea283f5
Fixed bug in the action scale of the intervention actions and offline dataset actions. (scale by inverse delta)
Michel Aractingi
2025-02-14 15:17:16 +01:00 -
8209a6dfb7
Modified crop_dataset_roi interface to automatically write the cropped parameters to a json file in the meta of the dataset
Michel Aractingi
2025-02-14 12:32:45 +01:00 -
b5fbeb7401
Optimized the replay buffer from the memory side to store data on cpu instead of a gpu device and send the batches to the gpu.
Michel Aractingi
2025-02-13 18:03:57 +01:00 -
2ac25b02e2
nit
Michel Aractingi
2025-02-13 17:12:57 +01:00 -
39fe4b1301
removed uncomment in actor server
Michel Aractingi
2025-02-13 16:53:33 +01:00 -
140e30e386
Changed the init_final value to center the starting mean and std of the policy
Michel Aractingi
2025-02-13 16:42:43 +01:00 -
ddcc0415e4
Changed bounds for a new so100 robot
Michel Aractingi
2025-02-13 15:43:30 +01:00 -
5195f40fd3
Hardcoded some normalization parameters. TODO refactor Added masking actions on the level of the intervention actions and offline dataset
Michel Aractingi
2025-02-13 14:27:14 +01:00 -
98c6557869
fix log_alpha in modeling_sac: change to nn.parameter added pretrained vision model in policy
Michel Aractingi
2025-02-13 11:26:24 +01:00 -
ee820859d3
Added logging for interventions to monitor the rate of interventions through time Added an s keyboard command to force success in the case the reward classifier fails
Michel Aractingi
2025-02-13 11:04:49 +01:00 -
5d6879d93a
Added possiblity to record and replay delta actions during teleoperation rather than absolute actions
Michel Aractingi
2025-02-12 19:25:41 +01:00 -
fae47d58d3
[PORT-Hilserl] classifier fixes (#695)
Yoel
2025-02-11 11:39:17 +01:00 -
3a07301365
[Port HIL-SERL] Add resnet-10 as default encoder for HIL-SERL (#696)
Eugene Mironov
2025-02-11 17:37:00 +07:00 -
f1af97dc9c
- Added JointMaskingActionSpace wrapper in
gym_manipulatorin order to select which joints will be controlled. For example, we can disable the gripper actions for some tasks. - Added Nan detection mechanisms in the actor, learner and gym_manipulator for the case where we encounter nans in the loop. - changed the non-blocking in the.to(device)functions to only work for the case of cuda because they were causing nans when running the policy on mps - Added some joint clipping and limits in the env, robot and policy configs. TODO clean this part and make the limits in one config file only.
Michel Aractingi
2025-02-11 11:34:46 +01:00 -
f2266101df
Added sac_real config file in the policym configs dir. Co-authored-by: Adil Zouitine <adilzouitinegm@gmail.com>
Michel Aractingi
2025-02-10 16:08:13 +01:00 -
9784d8a47f
Several fixes to move the actor_server and learner_server code from the maniskill environment to the real robot environment.
Michel Aractingi
2025-02-10 16:03:39 +01:00 -
af769abd8d
[HIL-SERL port] Add Reward classifier benchmark tracking to chose best visual encoder (#688)
Eugene Mironov
2025-02-07 00:39:51 +07:00 -
12c13e320e
- Added
lerobot/scripts/server/gym_manipulator.pythat contains all the necessary wrappers to run a gym-style env around the real robot. - Addedlerobot/scripts/server/find_joint_limits.pyto test the min and max angles of the motion you wish the robot to explore during RL training. - Added logic inmanipulator.pyto limit the maximum possible joint angles to allow motion within a predefined joint position range. The limits are specified in the yaml config for each robot. Checkout the so100.yaml.
Michel Aractingi
2025-02-06 16:29:37 +01:00 -
273fa2e6e1
fixed bug in crop_dataset_roi.py added missing buffer.pt in server dir
Michel Aractingi
2025-02-05 18:22:50 +00:00 -
d143043037
Added additional wrappers for the environment: Action repeat, keyboard interface, reset wrapper Tested the reset mechanism and keyboard interface and the convert wrapper on the robots.
Michel Aractingi
2025-02-04 17:41:14 +00:00 -
ca45c34ad5
Added crop_dataset_roi.py that allows you to load a lerobotdataset -> crop its images -> create a new lerobot dataset with the cropped and resized images.
Michel Aractingi
2025-02-03 17:48:35 +00:00 -
b1679050de
- Added base gym env class for the real robot environment. - Added several wrappers around the base gym env robot class. - Including: time limit, reward classifier, crop images, preprocess observations. - Added an interactive script crop_roi.py where the user can interactively select the roi in the observation images and return the correct crop values that will improve the policy and reward classifier performance.
Michel Aractingi
2025-02-03 14:52:45 +00:00 -
d2c41b35db
- Refactor observation encoder in
modeling_sac.py- addedtorch.compileto the actor and learner servers. - organized imports intrain_sac.py- optimized the parameters push by not sending the frozen pre-trained encoder.
Michel Aractingi
2025-01-31 16:45:52 +00:00 -
bc7b6d3daf
[Port HIL-SERL] Add HF vision encoder option in SAC (#651)
Yoel
2025-01-31 09:42:13 +01:00 -
2516101cba
Cleaned
learner_server.py. Added several block function to improve readability.
Michel Aractingi
2025-01-31 08:33:33 +00:00 -
aebea08a99
Added support for checkpointing the policy. We can save and load the policy state dict, optimizers state, optimization step and interaction step Added functions for converting the replay buffer from and to LeRobotDataset. When we want to save the replay buffer, we convert it first to LeRobotDataset format and save it locally and vice-versa.
Michel Aractingi
2025-01-30 17:39:41 +00:00 -
03616db82c
Removed unnecessary time.sleep in the streaming server on the learner side
Michel Aractingi
2025-01-29 16:31:38 +00:00 -
93c4fc198f
Added missing config files
env/maniskill_example.yamlandpolicy/sac_maniskill.yamlthat are necessary to run the lerobot implementation of sac with the maniskill baselines.
Michel Aractingi
2025-01-29 16:07:32 +00:00 -
8cd44ae163
- Added additional logging information in wandb around the timings of the policy loop and optimization loop. - Optimized critic design that improves the performance of the learner loop by a factor of 2 - Cleaned the code and fixed style issues
Michel Aractingi
2025-01-29 15:50:46 +00:00 -
2ae657f568
FREEDOM, added back the optimization loop code in
learner_server.pyRan experiment with pushcube env from maniskill. The learning seem to work.
Michel Aractingi
2025-01-28 17:25:49 +00:00 -
508f5d1407
Added server directory in
lerobot/scriptsthat contains scripts and the protobuf message types to split training into two processes, acting and learning. The actor rollouts the policy and collects interaction data while the learner recieves the data, trains the policy and sends the updated parameters to the actor. The two scripts are ran simultaneously Co-authored-by: Adil Zouitine <adilzouitinegm@gmail.com>
Michel Aractingi
2025-01-28 15:52:03 +00:00 -
c8b1132846
Stable version of rlpd + drq
AdilZouitine
2025-01-22 09:00:16 +00:00 -
ef777993cd
Add type annotations and restructure SACConfig class fields
AdilZouitine
2025-01-21 09:51:12 +00:00 -
760d60ad4b
Change SAC policy implementation with configuration and modeling classes
Adil Zouitine
2025-01-17 09:39:04 +01:00 -
875c0271b7
SAC works
Adil Zouitine
2025-01-14 11:34:52 +01:00 -
57344bfde5
[WIP] correct sac implementation
Adil Zouitine
2025-01-13 17:54:11 +01:00 -
46827fb002
Add rlpd tricks
Adil Zouitine
2025-01-15 15:49:24 +01:00 -
2fd78879f6
SAC works
Adil Zouitine
2025-01-14 11:34:52 +01:00 -
e8449e9630
remove breakpoint
Adil Zouitine
2025-01-13 17:58:00 +01:00 -
a0e2be8b92
[WIP] correct sac implementation
Adil Zouitine
2025-01-13 17:54:11 +01:00 -
181727c0fe
Extend reward classifier for multiple camera views (#626)
Michel Aractingi
2025-01-13 13:57:49 +01:00 -
d1d6ffd23c
[Port HIL_SERL] Final fixes for the Reward Classifier (#598)
Eugene Mironov
2025-01-06 17:34:00 +07:00 -
e5801f467f
added temporary fix for missing task_index key in online environment
Michel Aractingi
2024-12-30 13:47:28 +00:00 -
c6ca9523de
split encoder for critic and actor
Michel Aractingi
2024-12-29 23:59:39 +00:00 -
642e3a3274
style fixes
Michel Aractingi
2024-12-29 14:35:21 +00:00 -
146148c48c
Refactor SAC configuration and policy for improved action sampling and stability
KeWang1017
2024-12-29 12:30:39 +00:00 -
8f15835daa
Refine SAC configuration and policy for enhanced performance
KeWang1017
2024-12-28 22:11:34 +00:00 -
022bd65125
Refactor SACPolicy for improved action sampling and standard deviation handling
KeWang1017
2024-12-28 18:07:15 +00:00 -
63d8c96514
trying to get sac running
KeWang1017
2024-12-26 23:38:46 +00:00 -
4624a836e5
Added normalization schemes and style checks
Michel Aractingi
2024-12-29 12:51:21 +00:00 -
ad7eea132d
added optimizer and sac to factory.py
Michel Aractingi
2024-12-23 14:12:03 +01:00 -
22a1899ff4
[HIL-SERL PORT] Fix linter issues (#588)
Eugene Mironov
2024-12-23 16:44:29 +07:00 -
17a3a31b5f
[Port Hil-SERL] Add unit tests for the reward classifier & fix imports & check script (#578)
Eugene Mironov
2024-12-23 16:43:55 +07:00 -
1a8b99e360
added comments from kewang
Michel Aractingi
2024-12-17 18:03:46 +01:00 -
6db2154f28
Enhance SAC configuration and policy with new parameters and subsampling logic
KeWang1017
2024-12-17 15:58:04 +00:00 -
be3adda95f
Port SAC WIP (#581)
KeWang
2024-12-17 13:26:17 +00:00 -
9d48d236c1
completed losses
Michel Aractingi
2024-12-12 11:45:30 +01:00 -
b57d6a7776
nit in control_robot.py
Michel Aractingi
2024-12-11 00:30:33 +01:00 -
d1f76cba8e
Update lerobot/scripts/train_hilserl_classifier.py
Michel Aractingi
2024-12-11 00:22:10 +01:00 -
d78cef1fee
Fixup
Eugene Mironov
2024-12-17 02:42:53 +07:00 -
30a808c0ae
Add human intervention mechanism and eval_robot script to evaluate policy on the robot (#541)
Michel Aractingi
2024-12-09 19:17:47 +01:00 -
4a7f85a6ec
Reward classifier and training (#528)
Yoel
2024-12-09 10:21:50 +01:00 -
a22fe8a6de
Refactor SACObservationEncoder to improve modularity and readability. Split initialization into dedicated methods for image and state layers, and enhance caching logic for image features. Update forward method to streamline feature encoding and ensure proper normalization handling.
user/michel-aractingi/tmp-port-hil-serl-new
AdilZouitine
2025-04-18 12:22:14 +00:00 -
b6b9635be6
Remove names
Simon Alibert
2025-04-18 09:48:16 +02:00 -
21b1026872
Remove deprecated dynamixel_calibration
Simon Alibert
2025-04-18 09:34:46 +02:00 -
8c3eab32b0
Remove deprecated configure_motor
Simon Alibert
2025-04-18 09:19:43 +02:00 -
29633865c7
Fix _find_single_motor
Simon Alibert
2025-04-18 09:18:56 +02:00 -
49b5f379a7
Refactor SACPolicy initialization by breaking down the constructor into smaller methods for normalization, encoders, critics, actor, and temperature setup. This enhances readability and maintainability.
AdilZouitine
2025-04-17 16:37:43 +00:00 -
7a3d8756b4
Refactor input and output normalization handling in SACPolicy for improved clarity and efficiency. Consolidate encoder initialization logic and remove redundant else statements.
AdilZouitine
2025-04-17 16:05:11 +00:00 -
702749b7d3
Fix setup_motor & add it to robots
Simon Alibert
2025-04-17 16:56:23 +02:00 -
b43ece8934
Add pythno3-dev in Dockerfile to build and modify Readme.md , python-dev to python3-dev (#987)
k1000dai
2025-04-17 16:17:07 +02:00 -
c10c5a0e64
Fix --width --height type parsing on opencv and intelrealsense scripts (#556)
Alex Thiele
2025-04-17 06:19:23 -07:00 -
a8db91c40e
Fix Windows HTML visualization to make videos could be seen (#647)
Junshan Huang
2025-04-17 21:07:28 +08:00 -
0f5f7ac780
Fix broken links in
examples/4_train_policy_with_script.md(#697)
HUANG TZU-CHUN
2025-04-17 20:59:43 +08:00 -
bf1c737858
Fix calibration msg display
Simon Alibert
2025-04-17 13:18:32 +02:00 -
d07c7347f8
Add setup_motor
Simon Alibert
2025-04-17 13:14:06 +02:00 -
54b5c805bf
Revert mistake convert_dataset_v20_to_v21.py
Remi Cadene
2025-04-17 04:47:00 +02:00 -
eab5543750
Merge (No verify)
Remi Cadene
2025-04-17 04:46:09 +02:00 -
6b6a990f4c
most unit tests passing (TODO: convert datasets)
Remi Cadene
2025-04-16 21:30:58 +02:00 -
dc1548fe1a
Fix init temp Co-authored-by: s1lent4gnt <kmeftah.khalil@gmail.com>
AdilZouitine
2025-04-16 14:43:47 +00:00 -
23c9441d5f
Update log_std_min type to float in PolicyConfig for consistency
AdilZouitine
2025-04-15 14:02:24 +00:00