Michel Aractingi 508f5d1407 Added server directory in lerobot/scripts that 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>

2025-04-18 15:04:13 +02:00

..

datasets

Reward classifier and training (#528)

2025-04-18 15:02:13 +02:00

envs

Stable version of rlpd + drq

2025-04-18 15:04:10 +02:00

optim

chore(doc): add license header to all files (#818)

2025-03-05 17:56:51 +01:00

policies

Stable version of rlpd + drq

2025-04-18 15:04:10 +02:00

robot_devices

Extend reward classifier for multiple camera views (#626)

2025-04-18 15:03:50 +02:00

utils

[pre-commit.ci] pre-commit autoupdate (#871)

2025-04-08 06:58:46 +02:00

constants.py

chore(doc): add license header to all files (#818)

2025-03-05 17:56:51 +01:00

logger.py

Added server directory in lerobot/scripts that 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

2025-04-18 15:04:13 +02:00