Openai Gym On Walker2D V4
Métriques
Average Return
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Average Return | Paper Title | Repository |
|---|---|---|---|
| SAC | 5745.27 | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor | |
| MEow | 5526.66 | Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow | |
| DDPG | 2994.54 | Continuous control with deep reinforcement learning | |
| PPO | 2739.81 | Proximal Policy Optimization Algorithms | |
| TD3 | 2612.74 | Addressing Function Approximation Error in Actor-Critic Methods |
0 of 5 row(s) selected.