Visual Reinforcement

Visual reinforcement learning focuses on using reinforcement learning algorithms to improve agents' performance in visually-rich environments, aiming to optimize decision-making based on visual input. Current research emphasizes applications in diverse areas, including resource allocation in complex systems (e.g., using deep progressive reinforcement learning for mobile edge computing), improving large language model capabilities for visual program synthesis via self-training, and dynamically adjusting game difficulty based on player performance (using continuous reinforcement learning). This field is significant for its potential to enhance human-computer interaction, optimize resource management in real-world scenarios, and improve the design of interactive systems, but faces challenges in areas such as ensuring reliability and interpretability in high-stakes applications like traffic signal control.

Papers

August 2, 2024

Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system
Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li
Unmanned Aerial Vehicle Resource Management Dynamic Scheduling Intelligent Reflecting Surface Visual Reinforcement

April 6, 2024

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
Zaid Khan, Vijay Kumar BG, Samuel Schulter, Yun Fu, Manmohan Chandraker
Language Model Visual Question Answering Program Synthesis Visual Reinforcement

August 24, 2023

Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game
Masoud Rahimi, Hadi Moradi, Abdol-hossein Vahabie, Hamed Kebriaei
Reinforcement Learning Working Memory Difficulty Level Visual Reinforcement Difficulty Adjustment

July 20, 2023

A Definition of Continual Reinforcement Learning
David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
Lifelong Learning Definition Defining Redefinition Continual Reinforcement Learning Reinforcement Learning Problem Visual Reinforcement

June 23, 2022

The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen, Fei Fang, Norman Sadeh
Reinforcement Learning Technical Challenge Real World Emerging Opportunity Traffic Data Traffic Signal Control Traffic Agent Signal Control Visual Reinforcement

Visual Reinforcement

Papers

Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement

Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game

A Definition of Continual Reinforcement Learning

The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality