A5033107239- Reinforcement Learning in Robotics
- Optimization and Search Problems
- Time Series Analysis and Forecasting
- Data-Driven Disease Surveillance
- Advanced Computational Techniques and Applications
- Natural Language Processing Techniques
- Advanced Bandit Algorithms Research
- Viral Infectious Diseases and Gene Expression in Insects
- Anomaly Detection Techniques and Applications
Minjiang University
2024
Xiangtan University
2009
The NeurIPS 2020 Procgen Competition was designed as a centralized benchmark with clearly defined tasks for measuring Sample Efficiency and Generalization in Reinforcement Learning. remains one of the most fundamental challenges deep reinforcement learning, yet we do not have enough benchmarks to measure progress community on We present design Learning which can help by doing end evaluation training rollout phases thousands user submitted code bases scalable way. top already existing...
Combining offline and online reinforcement learning (RL) techniques is indeed crucial for achieving efficient safe where data acquisition expensive. Existing methods replay directly in the phase, resulting a significant challenge of distribution shift subsequently causing inefficiency fine-tuning. To address this issue, we introduce an innovative approach, \textbf{E}nergy-guided \textbf{DI}ffusion \textbf{S}ampling (EDIS), which utilizes diffusion model to extract prior knowledge from...