Addressing Exploration Challenges in Sparse Reward Reinforcement Learning Environments via Intrinsic Curiosity Modules and Reward Shaping

Documents similaires

• Leveraging Graph Neural Networks for Enhanced Node Representation Learning in Sparse Interaction Networks
  par: Sasha Petrova
  Publié: (2026)
• A Proximal Gradient Framework for Optimization Under Uncertainty with Applications to Sparse Data Representation
  par: Jordan Smith
  Publié: (2026)
• Robust Sensor Fusion for Autonomous Navigation in Dynamically Changing Environments
  par: Liam O'Connor
  Publié: (2026)
• Scalable and Efficient Distributed Training of Deep Learning Models via Hybrid Parallelism
  par: Yuki Tanaka
  Publié: (2026)
• Proximal Gradient Methods for Non-Convex Optimization with Applications to Robust Computer Vision
  par: Jamie Chen
  Publié: (2026)