
  # parameters <br>
  model = A2C(policy = "MlpPolicy", <br>
            env = env, <br>
            n_steps = 256, <br>
            learning_rate = 0.001, <br>
            gamma = 0.99, <br>
            verbose=1) <br>
{"library_name": "stable-baselines3", "tags": ["BipedalWalkerHardcore-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "BipedalWalkerHardcore-v3", "type": "BipedalWalkerHardcore-v3"}, "metrics": [{"type": "mean_reward", "value": "7.09 +/- 2.73", "name": "mean_reward"}]}]}]}
stable-baselines3 BipedalWalkerHardcore-v3 deep-reinforcement-learning reinforcement-learning model-index region:us
TAGS
#stable-baselines3 #BipedalWalkerHardcore-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us 


  # parameters <br>
  model = A2C(policy = "MlpPolicy", <br>
            env = env, <br>
            n_steps = 256, <br>
            learning_rate = 0.001, <br>
            gamma = 0.99, <br>
            verbose=1) <br>
# parameters <br>
  model = A2C(policy = "MlpPolicy", <br>
            env = env, <br>
            n_steps = 256, <br>
            learning_rate = 0.001, <br>
            gamma = 0.99, <br>
            verbose=1) <br>
TAGS
#stable-baselines3 #BipedalWalkerHardcore-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us 
 # parameters <br>
  model = A2C(policy = "MlpPolicy", <br>
            env = env, <br>
            n_steps = 256, <br>
            learning_rate = 0.001, <br>
            gamma = 0.99, <br>
            verbose=1) <br>
passage: TAGS
#stable-baselines3 #BipedalWalkerHardcore-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us 
# parameters <br>
  model = A2C(policy = "MlpPolicy", <br>
            env = env, <br>
            n_steps = 256, <br>
            learning_rate = 0.001, <br>
            gamma = 0.99, <br>
            verbose=1) <br>