Preference-Planning-Deep-IRL
Introduction
Dependencies
Gym
stable-baselines3
PyTorch
Usage
Take Demonstration
python3 record.py configs/[Env Name]
Train
python3 main.py configs/[Env Name]
Test
python3 test.py configs/[Env Name]
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
Overview
Code release for our paper, "SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo"
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