REINFORCE Algorithm Training Results
Total Rewards Across Episodes
| Episode | Total Reward |
|---|---|
| 1 | 25.0 |
| 2 | 14.0 |
| 3 | 11.0 |
| 4 | 36.0 |
| 5 | 15.0 |
| 6 | 23.0 |
| 7 | 11.0 |
| 8 | 20.0 |
| 9 | 24.0 |
| 10 | 11.0 |
| 11 | 11.0 |
| 12 | 10.0 |
| 13 | 35.0 |
| 14 | 26.0 |
| 15 | 26.0 |
| 16 | 36.0 |
| 17 | 31.0 |
| 18 | 16.0 |
| 19 | 23.0 |
| 20 | 28.0 |
| 21 | 15.0 |
| 22 | 24.0 |
| 23 | 18.0 |
| 24 | 38.0 |
| 25 | 48.0 |
| 26 | 11.0 |
| 27 | 25.0 |
| 28 | 65.0 |
| 29 | 41.0 |
| 30 | 15.0 |
| 31 | 27.0 |
| 32 | 19.0 |
| 33 | 54.0 |
| 34 | 21.0 |
| 35 | 48.0 |
| 36 | 113.0 |
| 37 | 38.0 |
| 38 | 51.0 |
| 39 | 19.0 |
| 40 | 37.0 |
| 41 | 27.0 |
| 42 | 50.0 |
| 43 | 65.0 |
| 44 | 22.0 |
| 45 | 50.0 |
| 46 | 13.0 |
| 47 | 58.0 |
| 48 | 14.0 |
| 49 | 29.0 |
| 50 | 83.0 |
| 51 | 60.0 |
| 52 | 34.0 |
| 53 | 124.0 |
| 54 | 25.0 |
| 55 | 73.0 |
| 56 | 167.0 |
| 57 | 11.0 |
| 58 | 23.0 |
| 59 | 26.0 |
| 60 | 30.0 |
| 61 | 33.0 |
| 62 | 86.0 |
| 63 | 184.0 |
| 64 | 89.0 |
| 65 | 69.0 |
| 66 | 82.0 |
| 67 | 91.0 |
| 68 | 56.0 |
| 69 | 29.0 |
| 70 | 83.0 |
| 71 | 96.0 |
| 72 | 124.0 |
| 73 | 84.0 |
| 74 | 95.0 |
| 75 | 119.0 |
| 76 | 70.0 |
| 77 | 195.0 |
| 78 | 26.0 |
| 79 | 71.0 |
| 80 | 26.0 |
| 81 | 90.0 |
| 82 | 96.0 |
| 83 | 87.0 |
| 84 | 81.0 |
| 85 | 77.0 |
| 86 | 85.0 |
| 87 | 106.0 |
| 88 | 93.0 |
| 89 | 122.0 |
| 90 | 15.0 |
| 91 | 120.0 |
| 92 | 174.0 |
| 93 | 107.0 |
| 94 | 73.0 |
| 95 | 40.0 |
| 96 | 203.0 |
| 97 | 165.0 |
| 98 | 110.0 |
| 99 | 79.0 |
| 100 | 127.0 |
| 101 | 66.0 |
| 102 | 55.0 |
| 103 | 41.0 |
| 104 | 129.0 |
| 105 | 158.0 |
| 106 | 182.0 |
| 107 | 206.0 |
| 108 | 165.0 |
| 109 | 127.0 |
| 110 | 173.0 |
| 111 | 158.0 |
| 112 | 136.0 |
| 113 | 120.0 |
| 114 | 110.0 |
| 115 | 69.0 |
| 116 | 163.0 |
| 117 | 243.0 |
| 118 | 157.0 |
| 119 | 186.0 |
| 120 | 132.0 |
| 121 | 298.0 |
| 122 | 107.0 |
| 123 | 280.0 |
| 124 | 105.0 |
| 125 | 219.0 |
| 126 | 67.0 |
| 127 | 194.0 |
| 128 | 233.0 |
| 129 | 189.0 |
| 130 | 101.0 |
| 131 | 245.0 |
| 132 | 122.0 |
| 133 | 218.0 |
| 134 | 108.0 |
| 135 | 466.0 |
| 136 | 159.0 |
| 137 | 198.0 |
| 138 | 240.0 |
| 139 | 162.0 |
| 140 | 216.0 |
| 141 | 130.0 |
| 142 | 349.0 |
| 143 | 387.0 |
| 144 | 108.0 |
| 145 | 309.0 |
| 146 | 64.0 |
| 147 | 234.0 |
| 148 | 151.0 |
| 149 | 86.0 |
| 150 | 219.0 |
| 151 | 210.0 |
| 152 | 500.0 |
| 153 | 201.0 |
| 154 | 250.0 |
| 155 | 272.0 |
| 156 | 263.0 |
| 157 | 207.0 |
| 158 | 146.0 |
| 159 | 122.0 |
| 160 | 99.0 |
| 161 | 213.0 |
| 162 | 138.0 |
| 163 | 139.0 |
| 164 | 270.0 |
| 165 | 140.0 |
| 166 | 259.0 |
| 167 | 113.0 |
| 168 | 148.0 |
| 169 | 311.0 |
| 170 | 136.0 |
| 171 | 292.0 |
| 172 | 307.0 |
| 173 | 240.0 |
| 174 | 267.0 |
| 175 | 124.0 |
| 176 | 124.0 |
| 177 | 163.0 |
| 178 | 290.0 |
| 179 | 91.0 |
| 180 | 265.0 |
| 181 | 145.0 |
| 182 | 151.0 |
| 183 | 257.0 |
| 184 | 290.0 |
| 185 | 138.0 |
| 186 | 204.0 |
| 187 | 320.0 |
| 188 | 90.0 |
| 189 | 100.0 |
| 190 | 161.0 |
| 191 | 170.0 |
| 192 | 147.0 |
| 193 | 134.0 |
| 194 | 206.0 |
| 195 | 144.0 |
| 196 | 155.0 |
| 197 | 151.0 |
| 198 | 149.0 |
| 199 | 151.0 |
| 200 | 138.0 |
| 201 | 192.0 |
| 202 | 175.0 |
| 203 | 210.0 |
| 204 | 130.0 |
| 205 | 100.0 |
| 206 | 225.0 |
| 207 | 119.0 |
| 208 | 84.0 |
| 209 | 163.0 |
| 210 | 138.0 |
| 211 | 242.0 |
| 212 | 253.0 |
| 213 | 250.0 |
| 214 | 253.0 |
| 215 | 356.0 |
| 216 | 311.0 |
| 217 | 273.0 |
| 218 | 175.0 |
| 219 | 273.0 |
| 220 | 103.0 |
| 221 | 91.0 |
| 222 | 147.0 |
| 223 | 111.0 |
| 224 | 114.0 |
| 225 | 86.0 |
| 226 | 104.0 |
| 227 | 65.0 |
| 228 | 126.0 |
| 229 | 131.0 |
| 230 | 71.0 |
| 231 | 67.0 |
| 232 | 63.0 |
| 233 | 120.0 |
| 234 | 112.0 |
| 235 | 58.0 |
| 236 | 82.0 |
| 237 | 60.0 |
| 238 | 174.0 |
| 239 | 92.0 |
| 240 | 90.0 |
| 241 | 100.0 |
| 242 | 186.0 |
| 243 | 108.0 |
| 244 | 158.0 |
| 245 | 206.0 |
| 246 | 165.0 |
| 247 | 264.0 |
| 248 | 224.0 |
| 249 | 353.0 |
| 250 | 500.0 |
| 251 | 165.0 |
| 252 | 363.0 |
| 253 | 180.0 |
| 254 | 408.0 |
| 255 | 261.0 |
| 256 | 259.0 |
| 257 | 253.0 |
| 258 | 205.0 |
| 259 | 151.0 |
| 260 | 170.0 |
| 261 | 136.0 |
| 262 | 176.0 |
| 263 | 86.0 |
| 264 | 132.0 |
| 265 | 82.0 |
| 266 | 229.0 |
| 267 | 196.0 |
| 268 | 185.0 |
| 269 | 168.0 |
| 270 | 238.0 |
| 271 | 216.0 |
| 272 | 196.0 |
| 273 | 204.0 |
| 274 | 114.0 |
| 275 | 152.0 |
| 276 | 281.0 |
| 277 | 258.0 |
| 278 | 239.0 |
| 279 | 236.0 |
| 280 | 215.0 |
| 281 | 236.0 |
| 282 | 228.0 |
| 283 | 241.0 |
| 284 | 91.0 |
| 285 | 248.0 |
| 286 | 138.0 |
| 287 | 238.0 |
| 288 | 204.0 |
| 289 | 228.0 |
| 290 | 242.0 |
| 291 | 102.0 |
| 292 | 260.0 |
| 293 | 197.0 |
| 294 | 318.0 |
| 295 | 265.0 |
| 296 | 336.0 |
| 297 | 209.0 |
| 298 | 134.0 |
| 299 | 281.0 |
| 300 | 331.0 |
| 301 | 276.0 |
| 302 | 394.0 |
| 303 | 357.0 |
| 304 | 368.0 |
| 305 | 406.0 |
| 306 | 293.0 |
| 307 | 148.0 |
| 308 | 438.0 |
| 309 | 500.0 |
| 310 | 500.0 |
| 311 | 314.0 |
| 312 | 500.0 |
| 313 | 395.0 |
| 314 | 438.0 |
| 315 | 474.0 |
| 316 | 418.0 |
| 317 | 500.0 |
| 318 | 500.0 |
| 319 | 407.0 |
| 320 | 500.0 |
| 321 | 500.0 |
| 322 | 500.0 |
| 323 | 500.0 |
| 324 | 500.0 |
| 325 | 500.0 |
| 326 | 500.0 |
| 327 | 500.0 |
| 328 | 500.0 |
| 329 | 247.0 |
| 330 | 500.0 |
| 331 | 500.0 |
| 332 | 500.0 |
| 333 | 500.0 |
| 334 | 500.0 |
| 335 | 500.0 |
| 336 | 500.0 |
| 337 | 500.0 |
| 338 | 500.0 |
| 339 | 500.0 |
| 340 | 500.0 |
| 341 | 500.0 |
| 342 | 500.0 |
| 343 | 400.0 |
| 344 | 500.0 |
| 345 | 500.0 |
| 346 | 260.0 |
| 347 | 500.0 |
| 348 | 493.0 |
| 349 | 302.0 |
| 350 | 343.0 |
| 351 | 500.0 |
| 352 | 239.0 |
| 353 | 500.0 |
| 354 | 299.0 |
| 355 | 137.0 |
| 356 | 393.0 |
| 357 | 429.0 |
| 358 | 278.0 |
| 359 | 346.0 |
| 360 | 333.0 |
| 361 | 279.0 |
| 362 | 328.0 |
| 363 | 122.0 |
| 364 | 270.0 |
| 365 | 249.0 |
| 366 | 181.0 |
| 367 | 329.0 |
| 368 | 321.0 |
| 369 | 424.0 |
| 370 | 322.0 |
| 371 | 317.0 |
| 372 | 324.0 |
| 373 | 431.0 |
| 374 | 254.0 |
| 375 | 389.0 |
| 376 | 444.0 |
| 377 | 203.0 |
| 378 | 422.0 |
| 379 | 329.0 |
| 380 | 500.0 |
| 381 | 500.0 |
| 382 | 500.0 |
| 383 | 500.0 |
| 384 | 500.0 |
| 385 | 500.0 |
| 386 | 500.0 |
| 387 | 500.0 |
| 388 | 500.0 |
| 389 | 500.0 |
| 390 | 500.0 |
| 391 | 500.0 |
| 392 | 500.0 |
| 393 | 500.0 |
| 394 | 500.0 |
| 395 | 500.0 |
| 396 | 500.0 |
| 397 | 500.0 |
| 398 | 500.0 |
| 399 | 500.0 |
| 400 | 500.0 |
| 401 | 500.0 |
| 402 | 500.0 |
| 403 | 500.0 |
| 404 | 500.0 |
| 405 | 500.0 |
| 406 | 500.0 |
| 407 | 500.0 |
| 408 | 500.0 |
| 409 | 500.0 |
| 410 | 500.0 |
| 411 | 500.0 |
| 412 | 500.0 |
| 413 | 500.0 |
| 414 | 359.0 |
| 415 | 500.0 |
| 416 | 500.0 |
| 417 | 500.0 |
| 418 | 500.0 |
| 419 | 459.0 |
| 420 | 456.0 |
| 421 | 330.0 |
| 422 | 287.0 |
| 423 | 284.0 |
| 424 | 311.0 |
| 425 | 273.0 |
| 426 | 314.0 |
| 427 | 235.0 |
| 428 | 269.0 |
| 429 | 330.0 |
| 430 | 303.0 |
| 431 | 270.0 |
| 432 | 356.0 |
| 433 | 294.0 |
| 434 | 287.0 |
| 435 | 236.0 |
| 436 | 306.0 |
| 437 | 243.0 |
| 438 | 122.0 |
| 439 | 225.0 |
| 440 | 247.0 |
| 441 | 216.0 |
| 442 | 192.0 |
| 443 | 227.0 |
| 444 | 242.0 |
| 445 | 181.0 |
| 446 | 308.0 |
| 447 | 115.0 |
| 448 | 225.0 |
| 449 | 292.0 |
| 450 | 194.0 |
| 451 | 318.0 |
| 452 | 343.0 |
| 453 | 292.0 |
| 454 | 444.0 |
| 455 | 488.0 |
| 456 | 500.0 |
| 457 | 289.0 |
| 458 | 423.0 |
| 459 | 469.0 |
| 460 | 500.0 |
| 461 | 413.0 |
| 462 | 500.0 |
| 463 | 500.0 |
| 464 | 500.0 |
| 465 | 500.0 |
| 466 | 500.0 |
| 467 | 500.0 |
| 468 | 500.0 |
| 469 | 500.0 |
| 470 | 500.0 |
| 471 | 500.0 |
| 472 | 500.0 |
| 473 | 500.0 |
| 474 | 500.0 |
| 475 | 500.0 |
| 476 | 500.0 |
| 477 | 399.0 |
| 478 | 500.0 |
| 479 | 246.0 |
| 480 | 500.0 |
| 481 | 500.0 |
| 482 | 500.0 |
| 483 | 500.0 |
| 484 | 500.0 |
| 485 | 500.0 |
| 486 | 500.0 |
| 487 | 240.0 |
| 488 | 219.0 |
| 489 | 359.0 |
| 490 | 500.0 |
| 491 | 349.0 |
| 492 | 332.0 |
| 493 | 318.0 |
| 494 | 414.0 |
| 495 | 215.0 |
| 496 | 347.0 |
| 497 | 117.0 |
| 498 | 359.0 |
| 499 | 259.0 |
| 500 | 402.0 |
Evaluation Results
Success rate over 100 evaluations: 100.00%
CartPole Solved with A2C
Trained using Stable-Baselines3 with the Advantage Actor-Critic (A2C) algorithm. Success rate over 100 evaluations: 100.00%
CartPole Solved with A2C
Trained using Stable-Baselines3 with the Advantage Actor-Critic (A2C) algorithm. Success rate over 100 evaluations: 100.00%
REINFORCE CartPole Model on Hugging Face Hub
Click here to view and download the trained model
CartPole Training with A2C on Weights & Biases
View the training run on Weights & Biases
PandaReachJointsDense-v3 Training with A2C
View the training run on Weights & Biases Download the trained model on Hugging Face Hub