IEEE

Deep Reinforcement Learning for Distribution System Operations: A Tutorial and Survey

The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...
GitHub

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

This repository trains LLMs to perform multi-turn Tool-Integrated Reasoning (TIR) with RL, where LLMs iteratively generate code, execute it, and think upon the execution results. This capability ...
IEEE

A Novel Sample-Efficient Deep Reinforcement Learning with Episodic Policy Transfer for PID-Based Control in Robotic Catheter System

Abstract: Robotic catheterization is typically used for percutaneous coronary intervention procedures nowadays and it involves steering flexible endovascular tools to open up occlusion in the ...
GitHub

ndrini/RL_FrozenLake_gym_solution

if name == "main": # run( # 10000, # is_training=True, # render=False, # learning_rate_a=0.9, # discount_factor_g=0.9, # epsilon=1, # ) run( 50, is_training=False ...