MO-Gymnasium
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-objective Reinforcement Learning | MO-Gymnasium MOWalker2D | Sparsity294 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium MOHumanoid | Sparsity62.5 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium MOSwimmer | Sparsity15.4 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium MOAnt | Sparsity354 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium MOHalfcheetah | Sparsity12.6 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium HopperEnv | Sparsity3.24 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium Water Reservoir | Sparsity3.45 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium MountainCar | Sparsity90.4 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium MOLunarLander | Sparsity14.8 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium Fishwood | Sparsity2.21 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium BreakableBottles | Sparsity40.2 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium FruitTree | Sparsity326 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium FourRoom | Sparsity521 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium ResourceGathering | Sparsity809 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium HighwayEnv | Sparsity22 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium Deep Sea Treasure | Sparsity20.1 | 8 | |
| Multi-objective Reinforcement Learning | MO-Gymnasium 8 discrete-action tasks | Hypervolume (HV)4.25 | 6 | |
| Multi-Objective Optimization | MO-Gymnasium MO-Mountaincar | Hypervolume (HV)1.11 | 5 | |
| Multi-Objective Optimization | MO-Gymnasium Fishwood | Hypervolume (HV)2.4 | 5 | |
| Multi-Objective Optimization | MO-Gymnasium DST | Hypervolume (HV)3.87 | 5 |
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