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Found 3 papers, 1 papers with code
Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning
Reward shaping is effective in addressing the sparse-reward challenge in reinforcement learning by providing immediate feedback through auxiliary informative rewards.
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
We introduce a self-adaptive and highly efficient reward shaping mechanism that incorporates success rates derived from historical experiences as shaped rewards.
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition
Action recognition technology plays a vital role in enhancing security through surveillance systems, enabling better patient monitoring in healthcare, providing in-depth performance analysis in sports, and facilitating seamless human-AI collaboration in domains such as manufacturing and assistive technologies.
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