diff --git a/HISTORY.md b/HISTORY.md index c2538cb13..896aa3304 100644 --- a/HISTORY.md +++ b/HISTORY.md @@ -20,6 +20,7 @@ #### Documentation +- Update gymnasium and lunar lander version ({pr}`493`) - Add tutorial page on Optuna integration ({pr}`492`) - Switch from std to var in arm tutorial ({pr}`486`) - Fix documentation conf for readthedocs deprecations ({pr}`485`) diff --git a/examples/lunar_lander.py b/examples/lunar_lander.py index e6aedd5ad..ddcc39b7e 100644 --- a/examples/lunar_lander.py +++ b/examples/lunar_lander.py @@ -3,7 +3,7 @@ Install the following dependencies before running this example -- swig must be installed before box2d can be installed, hence it is a separate command: pip install swig - pip install ribs[visualize] tqdm fire gymnasium[box2d]==0.29.1 moviepy>=1.0.0 dask>=2.0.0 distributed>=2.0.0 bokeh>=2.0.0 + pip install ribs[visualize] tqdm fire gymnasium[box2d]==1.0.0 moviepy>=1.0.0 dask>=2.0.0 distributed>=2.0.0 bokeh>=2.0.0 This script uses the same setup as the tutorial, but it also uses Dask instead of Python's multiprocessing to parallelize evaluations on a single machine and @@ -89,7 +89,7 @@ def simulate(model, seed=None, video_env=None): # just creates their own copy of the environment instead of trying to # share the environment. This also makes the function "pure." However, # we should use the video_env if it is passed in. - env = gym.make("LunarLander-v2") + env = gym.make("LunarLander-v3") else: env = video_env @@ -146,7 +146,7 @@ def create_scheduler(seed, n_emitters, sigma0, batch_size): A pyribs scheduler set up for CMA-ME (i.e. it has EvolutionStrategyEmitter's and a GridArchive). """ - env = gym.make("LunarLander-v2") + env = gym.make("LunarLander-v3") action_dim = env.action_space.n obs_dim = env.observation_space.shape[0] initial_model = np.zeros((action_dim, obs_dim)) @@ -333,7 +333,7 @@ def run_evaluation(outdir, env_seed): # Use a single env so that all the videos go to the same directory. video_env = gym.wrappers.RecordVideo( - gym.make("LunarLander-v2", render_mode="rgb_array"), + gym.make("LunarLander-v3", render_mode="rgb_array"), video_folder=str(outdir / "videos"), # This will ensure all episodes are recorded as videos. episode_trigger=lambda idx: True, diff --git a/tests/tutorials_list.sh b/tests/tutorials_list.sh index 3957a984c..dc0947e83 100644 --- a/tests/tutorials_list.sh +++ b/tests/tutorials_list.sh @@ -4,6 +4,10 @@ TUTORIALS=($(ls tutorials/*.ipynb tutorials/*/*.ipynb)) JSON_LIST="" for notebook in "${TUTORIALS[@]}"; do case "$notebook" in + # This is super flaky due to issues with swig and box2d. + tutorials/lunar_lander.ipynb) + continue + ;; # Exclude certain notebooks that take too long. tutorials/tom_cruise_dqd.ipynb) continue diff --git a/tutorials/lunar_lander.ipynb b/tutorials/lunar_lander.ipynb index f58597440..227d9594e 100644 --- a/tutorials/lunar_lander.ipynb +++ b/tutorials/lunar_lander.ipynb @@ -156,7 +156,7 @@ "outputs": [], "source": [ "%pip install swig # Must be installed before box2d.\n", - "%pip install ribs[visualize] gymnasium[box2d]==0.29.1 \"moviepy>=1.0.0\" dask distributed\n", + "%pip install ribs[visualize] gymnasium[box2d]==1.0.0 \"moviepy>=1.0.0\" dask distributed\n", "\n", "# An uninstalled version of decorator is occasionally loaded. This loads the\n", "# newly installed version of decorator so that moviepy works properly -- see\n", @@ -232,7 +232,7 @@ "outputs": [], "source": [ "# Create an environment so that we can obtain information about it.\n", - "reference_env = gym.make(\"LunarLander-v2\")\n", + "reference_env = gym.make(\"LunarLander-v3\")\n", "action_dim = reference_env.action_space.n\n", "obs_dim = reference_env.observation_space.shape[0]\n", "\n", @@ -279,7 +279,7 @@ " # just creates their own copy of the environment instead of trying to\n", " # share the environment. This also makes the function \"pure.\" However,\n", " # we should use the video_env if it is passed in.\n", - " env = gym.make(\"LunarLander-v2\")\n", + " env = gym.make(\"LunarLander-v3\")\n", " else:\n", " env = video_env\n", "\n", @@ -485,103 +485,83 @@ "outputId": "88e53ee9-393f-4625-bf4b-74ebf49c4403" }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:distributed.http.proxy:To route to workers diagnostics web server please install jupyter-server-proxy: python -m pip install jupyter-server-proxy\n", - "INFO:distributed.scheduler:State start\n", - "INFO:distributed.scheduler: Scheduler at: tcp://127.0.0.1:33631\n", - "INFO:distributed.scheduler: dashboard at: http://127.0.0.1:8787/status\n", - "INFO:distributed.nanny: Start Nanny at: 'tcp://127.0.0.1:41455'\n", - "INFO:distributed.nanny: Start Nanny at: 'tcp://127.0.0.1:38413'\n", - "INFO:distributed.scheduler:Register worker \n", - "INFO:distributed.scheduler:Starting worker compute stream, tcp://127.0.0.1:44505\n", - "INFO:distributed.core:Starting established connection to tcp://127.0.0.1:56380\n", - "INFO:distributed.scheduler:Register worker \n", - "INFO:distributed.scheduler:Starting worker compute stream, tcp://127.0.0.1:32931\n", - "INFO:distributed.core:Starting established connection to tcp://127.0.0.1:56384\n", - "INFO:distributed.scheduler:Receive client connection: Client-bdc1a522-4ff2-11ee-80a7-0242ac1c000c\n", - "INFO:distributed.core:Starting established connection to tcp://127.0.0.1:56394\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "> 25 itrs completed after 83.08s\n", - " - Size: 1091\n", - " - Coverage: 0.4364\n", - " - QD Score: 476152.747566642\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -163.5630178124271\n", - "> 50 itrs completed after 174.29s\n", - " - Size: 1605\n", - " - Coverage: 0.642\n", - " - QD Score: 726086.9622784023\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -147.6093692969456\n", - "> 75 itrs completed after 255.55s\n", - " - Size: 2046\n", - " - Coverage: 0.8184\n", - " - QD Score: 869710.060649476\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -174.92176898852586\n", - "> 100 itrs completed after 332.60s\n", - " - Size: 2253\n", - " - Coverage: 0.9012\n", - " - QD Score: 997512.4561767571\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -157.2514619721451\n", - "> 125 itrs completed after 423.54s\n", - " - Size: 2360\n", - " - Coverage: 0.944\n", - " - QD Score: 1096255.1246338706\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -135.48511668056332\n", - "> 150 itrs completed after 518.69s\n", - " - Size: 2416\n", - " - Coverage: 0.9664\n", - " - QD Score: 1171209.568852896\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -115.22782746154965\n", - "> 175 itrs completed after 626.75s\n", - " - Size: 2456\n", - " - Coverage: 0.9824\n", - " - QD Score: 1236459.7385883222\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -96.55548103081347\n", - "> 200 itrs completed after 763.93s\n", - " - Size: 2479\n", - " - Coverage: 0.9916\n", - " - QD Score: 1301028.6608563724\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -75.18004806116478\n", - "> 225 itrs completed after 879.66s\n", - " - Size: 2483\n", - " - Coverage: 0.9932\n", - " - QD Score: 1324682.1782379313\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -66.49932410876713\n", - "> 250 itrs completed after 979.00s\n", - " - Size: 2486\n", - " - Coverage: 0.9944\n", - " - QD Score: 1341868.5549527393\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -60.22986526438489\n", - "> 275 itrs completed after 1072.97s\n", - " - Size: 2490\n", - " - Coverage: 0.996\n", - " - QD Score: 1365455.2747249145\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -51.62438766067689\n", - "> 300 itrs completed after 1160.53s\n", - " - Size: 2493\n", - " - Coverage: 0.9972\n", - " - QD Score: 1387979.806127139\n", - " - Max Obj: 312.4166112115108\n", - " - Mean Obj: -43.24917523981597\n", - "Iterations: 100%|██████████| 300/300 [19:17<00:00, 3.86s/it]\n" + "> 25 itrs completed after 27.07s \n", + " - Size: 1085 \n", + " - Coverage: 0.434 \n", + " - QD Score: 497644.71204478183 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -141.34127922139925 \n", + "> 50 itrs completed after 55.04s \n", + " - Size: 1673 \n", + " - Coverage: 0.6692 \n", + " - QD Score: 732461.1952852886 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -162.18697233395778 \n", + "> 75 itrs completed after 81.05s \n", + " - Size: 2078 \n", + " - Coverage: 0.8312 \n", + " - QD Score: 861943.2417494163 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -185.20536970672939 \n", + "> 100 itrs completed after 112.97s \n", + " - Size: 2332 \n", + " - Coverage: 0.9328 \n", + " - QD Score: 1017846.2654447029 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -163.53076095853217 \n", + "> 125 itrs completed after 140.89s \n", + " - Size: 2399 \n", + " - Coverage: 0.9596 \n", + " - QD Score: 1125383.7911532177 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -130.89462644717895 \n", + "> 150 itrs completed after 175.00s \n", + " - Size: 2457 \n", + " - Coverage: 0.9828 \n", + " - QD Score: 1211303.3135671858 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -106.99905837721377 \n", + "> 175 itrs completed after 216.63s \n", + " - Size: 2476 \n", + " - Coverage: 0.9904 \n", + " - QD Score: 1262819.5040088487 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -89.97596768624851 \n", + "> 200 itrs completed after 253.28s \n", + " - Size: 2482 \n", + " - Coverage: 0.9928 \n", + " - QD Score: 1299446.9768728297 \n", + " - Max Obj: 309.7382675521822 \n", + " - Mean Obj: -76.45166121159157 \n", + "> 225 itrs completed after 289.28s \n", + " - Size: 2486 \n", + " - Coverage: 0.9944 \n", + " - QD Score: 1327841.5868551808 \n", + " - Max Obj: 315.29614111938383 \n", + " - Mean Obj: -65.87224985712763 \n", + "> 250 itrs completed after 317.58s \n", + " - Size: 2493 \n", + " - Coverage: 0.9972 \n", + " - QD Score: 1347854.8429337537 \n", + " - Max Obj: 315.29614111938383 \n", + " - Mean Obj: -59.34422666114973 \n", + "> 275 itrs completed after 347.03s \n", + " - Size: 2495 \n", + " - Coverage: 0.998 \n", + " - QD Score: 1363806.922283271 \n", + " - Max Obj: 315.29614111938383 \n", + " - Mean Obj: -53.383999084861294 \n", + "> 300 itrs completed after 375.14s \n", + " - Size: 2497 \n", + " - Coverage: 0.9988 \n", + " - QD Score: 1374444.5067896002 \n", + " - Max Obj: 315.29614111938383 \n", + " - Mean Obj: -49.561671289707576 \n", + "Iterations: 100%|████████████████████████████████████████| 300/300 [06:14<00:00, 1.25s/it]\n" ] } ], @@ -657,7 +637,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -719,7 +699,7 @@ " \"\"\"Displays a video of the model in the environment.\"\"\"\n", "\n", " video_env = gym.wrappers.RecordVideo(\n", - " gym.make(\"LunarLander-v2\", render_mode=\"rgb_array\"),\n", + " gym.make(\"LunarLander-v3\", render_mode=\"rgb_array\"),\n", " video_folder=\"videos\",\n", " # This will ensure all episodes are recorded as videos.\n", " episode_trigger=lambda idx: True,\n", @@ -767,8 +747,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 270.44571144188967\n", - "Measures: (x-pos: -0.3952582776546478, y-vel: -0.08481719344854355)\n" + "Objective: 271.3673071671791\n", + "Measures: (x-pos: -0.3962918221950531, y-vel: -0.09530427306890488)\n" ] }, { @@ -776,7 +756,7 @@ "text/html": [ "\n", " " ], "text/plain": [ @@ -825,8 +805,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 204.3844548611375\n", - "Measures: (x-pos: 0.6270830035209656, y-vel: -0.07091592252254486)\n" + "Objective: 194.52479264536845\n", + "Measures: (x-pos: 0.6237214803695679, y-vel: -0.07001425325870514)\n" ] }, { @@ -834,7 +814,7 @@ "text/html": [ "\n", " " ], "text/plain": [ @@ -878,8 +858,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 234.53572545577555\n", - "Measures: (x-pos: 0.005561447236686945, y-vel: -0.06290675699710846)\n" + "Objective: 306.5193835015769\n", + "Measures: (x-pos: 0.038937948644161224, y-vel: -0.07311394810676575)\n" ] }, { @@ -887,7 +867,7 @@ "text/html": [ "\n", " " ], "text/plain": [ @@ -952,8 +932,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 312.4166112115108\n", - "Measures: (x-pos: -0.04941272735595703, y-vel: -0.42066681385040283)\n" + "Objective: 315.29614111938383\n", + "Measures: (x-pos: -0.028294086456298828, y-vel: -0.4220752716064453)\n" ] }, { @@ -961,7 +941,7 @@ "text/html": [ "\n", " " ], "text/plain": [ @@ -975,8 +955,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 257.361619802296\n", - "Measures: (x-pos: -0.5883761644363403, y-vel: -0.11900511384010315)\n" + "Objective: 255.2233471793768\n", + "Measures: (x-pos: 0.28050756454467773, y-vel: -0.4443489611148834)\n" ] }, { @@ -984,7 +964,7 @@ "text/html": [ "\n", " " ], "text/plain": [ @@ -998,8 +978,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 200.29196229839343\n", - "Measures: (x-pos: 0.4815877079963684, y-vel: -0.289840966463089)\n" + "Objective: 200.0387419424668\n", + "Measures: (x-pos: 0.3441486358642578, y-vel: -0.741992712020874)\n" ] }, { @@ -1007,7 +987,7 @@ "text/html": [ "\n", " " ], "text/plain": [ @@ -1051,8 +1031,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Objective: 312.4166112115108\n", - "Measures: (x-pos: -0.04941272735595703, y-vel: -0.42066681385040283)\n" + "Objective: 315.29614111938383\n", + "Measures: (x-pos: -0.028294086456298828, y-vel: -0.4220752716064453)\n" ] }, { @@ -1060,7 +1040,7 @@ "text/html": [ "\n", " " ], "text/plain": [