2025
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
ICLR 2025poster
Reinforcement Learning (RL) agents have demonstrated their potential across various robotic tasks. However, they still heavily rely on human-engineered reward functions, requiring extensive trial-and-error and access to target behavior information, often unavailable in real-world settings. This pape…