IEEE

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications

Abstract: Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward ...
GitHub

EE-RL: Vision Language Guided Reinforcement Learning with Explorer and Expert model for End-to-End Autonomous Driving

EE-RL/ ├─ train.py # Training entry ├─ eval.py # Evaluation entry ├─ config.py # Configuration and algorithm parameters ├─ eval_plots.py # Plotting and summary ├─ utils.py # Utilities ├─ ...
GitHub

agentic_rag_tutorial_marktechpost.py

return "STRATEGY: semantic - Standard semantic similarity search." elif "synthesize" in prompt_lower and "context:" in prompt_lower: return "Based on the retrieved information, here's a comprehensive ...
IEEE

Supervision-Enhanced Deep Reinforcement Learning for Hybrid Action in BVR Engagement

Abstract: Deep reinforcement learning has gained increasing popularity in the beyond visual range engagement of unmanned combat aerial vehicles. Regardless of the success of the maneuvering decision, ...