diff --git a/demo.ipynb b/demo.ipynb
index 649a5a9..d4ad9dd 100644
--- a/demo.ipynb
+++ b/demo.ipynb
@@ -2,8 +2,87 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "ee7a0434-3333-4502-9563-adcc12d4a413",
+   "id": "970e2b9e-ccce-47b2-bccc-9471841cce44",
    "metadata": {},
+   "source": [
+    "## Installation required in Colab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "tckkiSjNY0Is",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "tckkiSjNY0Is",
+    "outputId": "627b5bff-c792-4954-947f-40baab0de93c"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cloning into 'diffusion_policy_quadrotor'...\n",
+      "remote: Enumerating objects: 155, done.\u001b[K\n",
+      "remote: Counting objects: 100% (155/155), done.\u001b[K\n",
+      "remote: Compressing objects: 100% (104/104), done.\u001b[K\n",
+      "remote: Total 155 (delta 66), reused 111 (delta 38), pack-reused 0\u001b[K\n",
+      "Receiving objects: 100% (155/155), 4.19 MiB | 25.69 MiB/s, done.\n",
+      "Resolving deltas: 100% (66/66), done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "! git clone https://github.com/shaoanlu/diffusion_policy_quadrotor.git"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7rrgEckSZEdx",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "7rrgEckSZEdx",
+    "outputId": "5cd7bcf5-5b4c-4a48-996b-7257cdf7f03e"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/content/diffusion_policy_quadrotor\n",
+      "\u001b[0m\u001b[01;34massets\u001b[0m/  \u001b[01;34mconfig\u001b[0m/  \u001b[01;34mcore\u001b[0m/  demo.ipynb  LICENSE  pyproject.toml  README.md  \u001b[01;34mutils\u001b[0m/\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd diffusion_policy_quadrotor\n",
+    "%ls"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "rK2Hjrq_Y4T6",
+   "metadata": {
+    "id": "rK2Hjrq_Y4T6"
+   },
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "!pip3 install torch==1.13.1 torchvision==0.14.1 diffusers==0.18.2 jax==0.4.23 jaxlib==0.4.23"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee7a0434-3333-4502-9563-adcc12d4a413",
+   "metadata": {
+    "id": "ee7a0434-3333-4502-9563-adcc12d4a413"
+   },
    "source": [
     "## Description\n",
     "\n",
@@ -12,9 +91,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
    "id": "fffc0bb0-584b-4602-885f-a1cfa06d21b6",
-   "metadata": {},
+   "metadata": {
+    "id": "fffc0bb0-584b-4602-885f-a1cfa06d21b6"
+   },
    "outputs": [],
    "source": [
     "%load_ext autoreload\n",
@@ -23,13 +104,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "id": "670f6c7f-93c9-47dc-b2e4-81ea8949b3f9",
-   "metadata": {},
+   "metadata": {
+    "id": "670f6c7f-93c9-47dc-b2e4-81ea8949b3f9"
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
     "import os\n",
+    "import torch\n",
     "import yaml\n",
     "import collections\n",
     "from tqdm.auto import tqdm\n",
@@ -38,10 +122,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "id": "fa8f1de5-924a-4889-aacc-bac7601012c5",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 87,
+     "referenced_widgets": [
+      "49a3b00a700b40f8b1de991477efe2b9",
+      "fb587d9dbfa84d72af2b3c45d46c2cc1",
+      "7487091f00dd4e3bba795ebab6b0f5b1",
+      "a817704da5184ef6922fb679bf0c395e",
+      "a3a8dd4705b64b5f9b21b2e3d4ce24b8",
+      "3a953a43ed574a4c8e8ebc52d5993347",
+      "1900dfab0c6e4f8a8350f2d024fc22c6",
+      "a9afd6d521f44216adb119a54f531376",
+      "632b2841ae2d44b18e67fe288ba136a1",
+      "01969ff8ad4140328cda2a14df8fe439",
+      "fca3ddf1eb6d439ba86878e00e4560fd"
+     ]
+    },
+    "id": "fa8f1de5-924a-4889-aacc-bac7601012c5",
+    "outputId": "730f9c66-b606-4840-f614-540a89379eef"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "49a3b00a700b40f8b1de991477efe2b9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "0it [00:00, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "from core.networks.conditional_unet1d import ConditionalUnet1D\n",
     "from utils.normalizers import LinearNormalizer\n",
@@ -54,16 +180,19 @@
   {
    "cell_type": "markdown",
    "id": "06cf3d67-3f96-457e-a634-77b6e5f2e31e",
-   "metadata": {},
+   "metadata": {
+    "id": "06cf3d67-3f96-457e-a634-77b6e5f2e31e"
+   },
    "source": [
     "## Load the config file"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "0c8c8f90-8ac2-4f87-943d-e41b7ff9ff6a",
    "metadata": {
+    "id": "0c8c8f90-8ac2-4f87-943d-e41b7ff9ff6a",
     "scrolled": true
    },
    "outputs": [],
@@ -75,16 +204,20 @@
   {
    "cell_type": "markdown",
    "id": "dd56c89a-520f-46b5-b9d6-ebef0160b184",
-   "metadata": {},
+   "metadata": {
+    "id": "dd56c89a-520f-46b5-b9d6-ebef0160b184"
+   },
    "source": [
     "## Instantiate the controller"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "id": "cb0707a7-3d66-46da-b722-2b2f42d8e099",
-   "metadata": {},
+   "metadata": {
+    "id": "cb0707a7-3d66-46da-b722-2b2f42d8e099"
+   },
    "outputs": [],
    "source": [
     "controller = QuadrotorDiffusionPolicy(\n",
@@ -92,27 +225,47 @@
     "    noise_scheduler=build_noise_scheduler_from_config(config),\n",
     "    normalizer=LinearNormalizer(),\n",
     "    config=config,\n",
-    "    device=\"cuda\",\n",
+    "    device=\"cuda\" if torch.cuda.is_available() else \"cpu\",\n",
     ")"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "cac28d88-e304-46b3-bc28-5fc54cd3705d",
-   "metadata": {},
+   "metadata": {
+    "id": "cac28d88-e304-46b3-bc28-5fc54cd3705d"
+   },
    "source": [
     "## Download and load pretrained weights"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "0123fc93-7219-4ade-b703-15da35726807",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "0123fc93-7219-4ade-b703-15da35726807",
+    "outputId": "7babe0bb-380e-476f-dad8-765ea42ae9d0"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Downloading...\n",
+      "From (original): https://drive.google.com/uc?id=1-as6EqMLECxU7IVLZZIEDAcXMox_RkI_\n",
+      "From (redirected): https://drive.google.com/uc?id=1-as6EqMLECxU7IVLZZIEDAcXMox_RkI_&confirm=t&uuid=2178b675-cbe4-4155-8007-bba4273226c2\n",
+      "To: /content/diffusion_policy_quadrotor/ema_noise_pred_net2_ph96_oh2_ah10_v8.ckpt\n",
+      "100%|██████████| 269M/269M [00:03<00:00, 77.2MB/s]\n"
+     ]
+    }
+   ],
    "source": [
     "# download pretrained weights from Google drive\n",
-    "ckpts_path = \"ckpts/ema_noise_pred_net2_ph96_oh2_ah10_v8.ckpt\"\n",
+    "ckpts_path = \"ema_noise_pred_net2_ph96_oh2_ah10_v8.ckpt\"\n",
     "if not os.path.isfile(ckpts_path):\n",
     "    gdown.download(id=\"1-as6EqMLECxU7IVLZZIEDAcXMox_RkI_\", output=ckpts_path, quiet=False)\n",
     "\n",
@@ -123,16 +276,20 @@
   {
    "cell_type": "markdown",
    "id": "a0fda0f4-f5cb-4fa9-86da-abf991edfb4b",
-   "metadata": {},
+   "metadata": {
+    "id": "a0fda0f4-f5cb-4fa9-86da-abf991edfb4b"
+   },
    "source": [
     "## Instantiate the simulator"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "id": "6b0ae93e-8fe6-40af-92e6-12643aa21f6d",
-   "metadata": {},
+   "metadata": {
+    "id": "6b0ae93e-8fe6-40af-92e6-12643aa21f6d"
+   },
    "outputs": [],
    "source": [
     "sim = PlanarQuadrotorEnv(config)"
@@ -140,25 +297,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "a679998d-7a2e-48dc-b0a4-30c24314e307",
-   "metadata": {},
+   "metadata": {
+    "id": "a679998d-7a2e-48dc-b0a4-30c24314e307"
+   },
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
    "id": "1f1c50bc-e529-432f-92a9-9bb3c6e9fdf7",
-   "metadata": {},
+   "metadata": {
+    "id": "1f1c50bc-e529-432f-92a9-9bb3c6e9fdf7"
+   },
    "source": [
     "## Run simulation"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "id": "eecaed67-9814-4a62-aa7f-2caf5d5b43aa",
-   "metadata": {},
+   "metadata": {
+    "id": "eecaed67-9814-4a62-aa7f-2caf5d5b43aa"
+   },
    "outputs": [],
    "source": [
     "def generate_random_obstacles():\n",
@@ -179,14 +342,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "id": "3250c190-d380-423c-8455-21a6c1b2c093",
-   "metadata": {},
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 67,
+     "referenced_widgets": [
+      "fa8ca951c0f54d3c965b136791c54f60",
+      "14869b876e6143a9848a8421b8da93c3",
+      "b00b242d48c34b739b335e6137bbec52",
+      "ba8a57462eb4492880c4980ee126f888",
+      "7afde10b06494393ab9b53818c580fdc",
+      "bc399470fb094590a12ba13e98c1f6a8",
+      "eba7a2b036374b1c9c329d884ce16ad4",
+      "13066600e23245888e019523e0200005",
+      "304615b68c9d496ea35928d1546df4ca",
+      "3de6654be9de4d22b15fb28ad7625f57",
+      "81e23a9379b34c0cb78e375d47a63a89"
+     ]
+    },
+    "id": "3250c190-d380-423c-8455-21a6c1b2c093",
+    "outputId": "4c9609f0-a944-42f7-909c-c23cab24dbf0"
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "48d2737271974d76a04b67f4ca0f4d72",
+       "model_id": "fa8ca951c0f54d3c965b136791c54f60",
        "version_major": 2,
        "version_minor": 0
       },
@@ -196,6 +379,13 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:jax._src.xla_bridge:An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.\n"
+     ]
     }
    ],
    "source": [
@@ -213,7 +403,7 @@
     "obs_center, obs_radius = generate_random_obstacles()\n",
     "obs_encode = encode_obstacle_info(obs_center, obs_radius)\n",
     "obs = {\n",
-    "    \"state\": collections.deque([state] * controller.obs_horizon, maxlen=controller.obs_horizon), \n",
+    "    \"state\": collections.deque([state] * controller.obs_horizon, maxlen=controller.obs_horizon),\n",
     "    \"obs_encode\": [obs_encode],\n",
     "}\n",
     "\n",
@@ -225,7 +415,7 @@
     "    while not done:\n",
     "        # controller inference\n",
     "        action = controller.predict_action(obs)\n",
-    "        \n",
+    "\n",
     "        # execute action_horizon steps without replanning\n",
     "        for i in range(action.shape[0]):\n",
     "            # stepping env\n",
@@ -248,29 +438,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "b006ad91-e853-4a03-80c5-7ecb142bc475",
-   "metadata": {},
+   "metadata": {
+    "id": "b006ad91-e853-4a03-80c5-7ecb142bc475"
+   },
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
    "id": "602bdd60-2b90-48db-a29b-7f8645501142",
-   "metadata": {},
+   "metadata": {
+    "id": "602bdd60-2b90-48db-a29b-7f8645501142"
+   },
    "source": [
     "## Visualize result"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "b92bcec2-d95d-4361-9b92-991346d83950",
-   "metadata": {},
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 435
+    },
+    "id": "b92bcec2-d95d-4361-9b92-991346d83950",
+    "outputId": "0d8c5a83-8002-4deb-a87b-48a04af6d0af"
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -288,7 +489,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "33740290-22ae-45bd-822f-0bea782691bd",
-   "metadata": {},
+   "metadata": {
+    "id": "33740290-22ae-45bd-822f-0bea782691bd"
+   },
    "outputs": [],
    "source": []
   },
@@ -296,7 +499,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "f15cae17-f337-4ba0-a4ea-5a10a8bc0390",
-   "metadata": {},
+   "metadata": {
+    "id": "f15cae17-f337-4ba0-a4ea-5a10a8bc0390"
+   },
    "outputs": [],
    "source": []
   },
@@ -304,7 +509,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "7f889988-1fef-4c11-b113-457247db185c",
-   "metadata": {},
+   "metadata": {
+    "id": "7f889988-1fef-4c11-b113-457247db185c"
+   },
    "outputs": [],
    "source": []
   },
@@ -312,7 +519,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "6c503b86-5211-4403-a830-b8a100e73b97",
-   "metadata": {},
+   "metadata": {
+    "id": "6c503b86-5211-4403-a830-b8a100e73b97"
+   },
    "outputs": [],
    "source": []
   },
@@ -320,7 +529,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "f0772564-5e68-4884-a266-f5467db4a433",
-   "metadata": {},
+   "metadata": {
+    "id": "f0772564-5e68-4884-a266-f5467db4a433"
+   },
    "outputs": [],
    "source": []
   },
@@ -328,12 +539,19 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "3c1ad555-40ce-4917-b0f7-e26dce4d485d",
-   "metadata": {},
+   "metadata": {
+    "id": "3c1ad555-40ce-4917-b0f7-e26dce4d485d"
+   },
    "outputs": [],
    "source": []
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -353,105 +571,7 @@
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "0806048d56b74fcf90a775d5b458d5df": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "2.0.0",
-      "model_name": "HTMLModel",
-      "state": {
-       "layout": "IPY_MODEL_789327ed7eb74388aabd2c1d2d1848d2",
-       "style": "IPY_MODEL_250f11e1d952468c91de518c548b68a8",
-       "value": "Eval: "
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