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code for "Decoupled Preference-based Reinforcement Learning for Personalized Human-Robot Interaction"

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demos
demos
 
 
stable_baselines3
stable_baselines3
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
decouple_task_and_preference_pebble.py
decouple_task_and_preference_pebble.py
 
 
decouple_task_and_preference_prefppo.py
decouple_task_and_preference_prefppo.py
 
 
decoupled_off_policy_with_reward_algorithm.py
decoupled_off_policy_with_reward_algorithm.py
 
 
decoupled_on_policy_with_reward_algorithm.py
decoupled_on_policy_with_reward_algorithm.py
 
 
logger.py
logger.py
 
 
make_vec_separate_reward_env.py
make_vec_separate_reward_env.py
 
 
new_buffers.py
new_buffers.py
 
 
new_plot_results.py
new_plot_results.py
 
 
newest_plot_results.py
newest_plot_results.py
 
 
newest_plot_results_2.py
newest_plot_results_2.py
 
 
plot_results.py
plot_results.py
 
 
policy_evaluation_hri.py
policy_evaluation_hri.py
 
 
reward_model.py
reward_model.py
 
 
separate_reward_monitor.py
separate_reward_monitor.py
 
 
separate_reward_off_policy_with_reward_algorithm.py
separate_reward_off_policy_with_reward_algorithm.py
 
 
separate_reward_on_policy_algorithm.py
separate_reward_on_policy_algorithm.py
 
 
separate_reward_on_policy_with_reward_algorithm.py
separate_reward_on_policy_with_reward_algorithm.py
 
 
separate_reward_pebble.py
separate_reward_pebble.py
 
 
separate_reward_ppo.py
separate_reward_ppo.py
 
 
separate_reward_prefppo.py
separate_reward_prefppo.py
 
 
separate_reward_sac.py
separate_reward_sac.py
 
 
separate_reward_vec_normalize.py
separate_reward_vec_normalize.py
 
 
show_episode_reward_callbacks.py
show_episode_reward_callbacks.py
 
 
train_decoupled_pebble_hri.py
train_decoupled_pebble_hri.py
 
 
train_decoupled_prefppo_hri.py
train_decoupled_prefppo_hri.py
 
 
train_pebble_hri.py
train_pebble_hri.py
 
 
train_ppo_hri.py
train_ppo_hri.py
 
 
train_prefppo_hri.py
train_prefppo_hri.py
 
 
train_sac_hri.py
train_sac_hri.py
 
 
utils.py
utils.py
 
 

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Decoupled Preference-based RL for Personalized Human-Robot Interaction

This repo contains the code of the paper: Mingjiang Liu and Chunlin Chen, "Task Decoupling in Preference-based Reinforcement Learning for Personalized Human-Robot Interaction", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.

Demos

The demonstrations of all learned optimal policies are available in demos/.

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code for "Decoupled Preference-based Reinforcement Learning for Personalized Human-Robot Interaction"

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