RL Anonymity (with Python)¶
An experimental effort to use reinforcement learning techniques for data anonymization. The project repository is at RL anonymity (with Python).
Contents¶
- Conceptual overview
- Installation
- Examples
- API
- epsilon_greedy_q_estimator
- a2c
- q_learning
- semi_gradient_sarsa
- column_type
- datasets_loaders
- dataset_wrapper
- exceptions
- optimizer_type
- pytorch_optimizer_builder
- loss_functions
- distortion_calculator
- numeric_distance_type
- numeric_distance_calculator
- pytorch_optimizer_config
- string_distance_calculator
- a2c_networks
- processes_manager
- epsilon_greedy_policy
- preprocess_utils
- actions
- action_space
- state
- discrete_state_environment
- tiled_environment
- time_step
- multiprocess_env
- replay_buffer
- trainer
- pytorch_trainer
- replay_buffer
- iteration_control
- function_wraps
- episode_info
- mixins
- reward_manager
- serial_hierarchy