Openai Gym On Humanoid V4
Métriques
Average Return
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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 |
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