Openai Gym On Humanoid V4
Metriken
Average Return
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Average Return | Paper Title | Repository |
|---|---|---|---|
| SAC | 6211.50 | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor | |
| MEow | 6923.22 | Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow | |
| DDPG | 139.14 | Continuous control with deep reinforcement learning | |
| TD3 | 198.44 | Addressing Function Approximation Error in Actor-Critic Methods | |
| PPO | 925.89 | Proximal Policy Optimization Algorithms |
0 of 5 row(s) selected.