qrdqn-LunarLander-v2 / config.yml
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!!python/object/apply:collections.OrderedDict
- - - batch_size
- 128
- - buffer_size
- 100000
- - exploration_final_eps
- 0.18
- - exploration_fraction
- 0.24
- - gamma
- 0.995
- - gradient_steps
- -1
- - learning_rate
- lin_1.5e-3
- - learning_starts
- 10000
- - n_timesteps
- 100000.0
- - policy
- MlpPolicy
- - policy_kwargs
- dict(net_arch=[256, 256], n_quantiles=170)
- - target_update_interval
- 1
- - train_freq
- 256