fix environment seeding

add fixes for reproducibility

only try to start env if it is closed

revision

fix normalization and data type

Improve README

Improve README

Tests are passing, Eval pretrained model works, Add gif

Update gif

Update gif

Update gif

Update gif

Update README

Update README

update minor

Update README.md

Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com>

Update README.md

Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com>

Address suggestions

Update thumbnail + stats

Update thumbnail + stats

Update README.md

Co-authored-by: Alexander Soare <alexander.soare159@gmail.com>

Add more comments

Add test_examples.py

lerobot/common/datasets/simxarm.py

@@ -8,12 +8,12 @@ import torchrl
 import tqdm
 from tensordict import TensorDict
 from torchrl.data.replay_buffers.samplers import (
-    SliceSampler,
+    Sampler,
 )
 from torchrl.data.replay_buffers.storages import TensorStorage
 from torchrl.data.replay_buffers.writers import Writer
 
-from lerobot.common.datasets.abstract import AbstractExperienceReplay
+from lerobot.common.datasets.abstract import AbstractDataset
 
 
 def download():
@@ -32,7 +32,7 @@ def download():
     Path(download_path).unlink()
 
 
-class SimxarmExperienceReplay(AbstractExperienceReplay):
+class SimxarmDataset(AbstractDataset):
     available_datasets = [
         "xarm_lift_medium",
     ]
@@ -41,15 +41,15 @@ class SimxarmExperienceReplay(AbstractExperienceReplay):
         self,
         dataset_id: str,
         version: str | None = "v1.1",
-        batch_size: int = None,
+        batch_size: int | None = None,
         *,
         shuffle: bool = True,
         root: Path | None = None,
         pin_memory: bool = False,
         prefetch: int = None,
-        sampler: SliceSampler = None,
-        collate_fn: Callable = None,
-        writer: Writer = None,
+        sampler: Sampler | None = None,
+        collate_fn: Callable | None = None,
+        writer: Writer | None = None,
         transform: "torchrl.envs.Transform" = None,
     ):
         super().__init__(