Openai Gym On Hopper V4
Metrics
Average Return
Results
Performance results of various models on this benchmark
Model Name | Average Return | Paper Title | Repository |
|---|---|---|---|
| DDPG | 1290.24 | Continuous control with deep reinforcement learning | - |
| MEow | 3332.99 | Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow | - |
| TD3 | 3319.98 | Addressing Function Approximation Error in Actor-Critic Methods | - |
| PPO | 790.77 | Proximal Policy Optimization Algorithms | - |
| SAC | 2882.56 | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor | - |
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