Continuous Control On Lunar Lander Openai Gym
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Score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Score | Paper Title | Repository |
|---|---|---|---|
| MAC | 163.5 | Mean Actor Critic | |
| TD3 | 277.26±4.17 | Addressing Function Approximation Error in Actor-Critic Methods | |
| DDPG | 256.98±14.38 | Continuous control with deep reinforcement learning | |
| PPO | 175.14±44.94 | Proximal Policy Optimization Algorithms | |
| SAC | 284.59±0.97 | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor |
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