Search Results for author:
Found 2 papers, 1 papers with code
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning
Our proposed method derives the variational lower bound of the situational mutual information to optimize it.
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
Applying reinforcement learning to autonomous driving entails particular challenges, primarily due to dynamically changing traffic flows.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
