snn4hrl
Stochastic Neural Networks for Hierarchical Reinforcement Learning
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최종 버전 다운로드 (.zip)- __init__.py
- npo_snn_rewards.py
- trpo_snn.py
- __init__.py
- base.py
- grid_bonus_evaluator.py
- __init__.py
- lasagne_layers.py
- __init__.py
- categorical.py
- __init__.py
- ant_follow_env.py
- follow_env.py
- snake_follow_env.py
- __init__.py
- ant_gather_env.py
- snake_gather_env.py
- swimmer_gather_env.py
- __init__.py
- ant_maze_env.py
- fast_maze_env.py
- snake_maze_env.py
- swimmer_maze_env.py
- __init__.py
- ant_env.py
- half_cheetah_env.py
- mujoco_env.py
- regular_ant_env.py
- snake2_env.py
- snake_env.py
- swimmer_env.py
- __init__.py
- count_modes.py
- plot_matrix.py
- plt_results1D.py
- plt_results2D.py
- __init__.py
- biMod1D_env.py
- multiMod2D_env.py
- __init__.py
- hierarchized_multiPol_env.py
- hierarchized_snn_env.py
- __init__.py
- categorical_mlp_policy.py
- hier_multi_mlp_policy.py
- hier_snn_mlp_policy.py
- reload_policy.py
- snn_mlp_policy.py
- softmax_gaussian_mlp_policy.py
- stochastic_gaussian_mlp_policy.py
- __init__.py
- bernoulli_mlp_regressor.py
- bernoulli_recurrent_regressor.py
- categorical_recurrent_regressor.py
- latent_regressor.py
- hier-snn-egoSwimmer-gather.py
- hier-snn-Snake-maze0.py
- train_snake_snn.py
- train_snn.py
- __init__.py
- utils.py
- utils_snn.py
- __init__.py
- importer.py
- reload_policy.py
- sync_s3.py
- warm_starter.py
- warm_train.py
- .gitignore
- __init__.py
- LICENSE
- README.md
// repository documentation
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