Positive Reinforcement

Positive reinforcement, a core concept in reinforcement learning (RL), aims to optimize agent behavior by rewarding desired actions. Current research focuses on applying RL across diverse fields, utilizing model architectures like Proximal Policy Optimization (PPO), Deep Q-Networks (DQN), and Actor-Critic methods, often integrated with other techniques such as Koopman operators or graph neural networks. This approach is proving valuable in various applications, from optimizing complex systems like space mission planning and cloud load balancing to enhancing safety in autonomous driving and improving the robustness of large language models. The significance lies in its ability to solve challenging problems requiring adaptability and optimization in complex, dynamic environments.

Papers

June 20, 2024

June 19, 2024

Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRA
Adarsh Salagame, Harin Kumar Nallaguntla, Eric Sihite, Gunar Schirner, Alireza Ramezani
Learning Based Positive Reinforcement Iterative Optimization Snake Robot Original CoBRA Model Matching

June 13, 2024

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer
Reinforcement Learning Digital Twin Future Direction Positive Reinforcement Actor Critic Algorithm Agricultural Domain Future Application

June 11, 2024

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Yunzhen Feng, Elvis Dohmatob, Pu Yang, Francois Charton, Julia Kempe
Generative Model Positive Reinforcement Data Synthesis Model Generated Model Collapse

June 4, 2024

Reinforcement learning-based architecture search for quantum machine learning
Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth
Reinforcement Learning Quantum Machine Learning Model Based Reinforcement Learning Positive Reinforcement Quantum Machine Learning Model Architecture Search Digital Circuit

May 15, 2024

Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach
Hajer Mhalla, Mohamed Aymen Saied
Positive Reinforcement Learning Based Approach Continuous Integration

May 12, 2024

Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena, Bruce L. McNaughton
Artificial Intelligence Full Model Continual LEArning Positive Reinforcement Neuroscience Research AI Development Brain Computation Bridging Natural Language Processing

May 4, 2024

Reinforcement Learning-Based Model Matching in COBRA, a Slithering Snake Robot
Harin Kumar Nallaguntla
Learning Based Positive Reinforcement Iterative Optimization Snake Robot Original CoBRA Model Matching

May 2, 2024

Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari, Hanping Zhang, Yuhong Guo
Reinforcement Learning Semi Supervised Learning Positive Reinforcement Novel Reinforcement Learning Semi Supervised Teacher Student

April 26, 2024

EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
Htoo Wai Aung, Jiao Jiao Li, Yang An, Steven W. Su
Positive Reinforcement Motor Imagery Eeg GPT

April 21, 2024

Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses
Yousef Khan, Ahmed Abdeen Hamed
Generative AI High Explainability Reasoning Capability Positive Reinforcement Natural Language Reasoning Explainable Reinforcement Learning Cancer Screening Automatic Prompt Engineering ChatGPT Prompt

March 31, 2024

Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance
Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed
Deep Reinforcement Learning Variational Autoencoders Collision Avoidance Positive Reinforcement Autonomous Vessel Exteroceptive Perception Autonomous Underwater

March 26, 2024

Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino, Christos G. Cassandras, Ioannis Ch. Paschalidis, Wenchao Li
Predictive Control Control Barrier Function Model Predictive Control Positive Reinforcement Safety Critical System CBF Based Receding Horizon Horizon Control

March 11, 2024

RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach
Yingzhuo Liu
Learning Based Positive Reinforcement Adaptive Traffic Signal Control Rl Msa

March 4, 2024

An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q. -H. Meng
Reinforcement Learning Deep Reinforcement Learning Variational Autoencoder Model Based Positive Reinforcement Model Learning Differentiable WORLD

February 21, 2024

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
Akash Kundu
Quantum Circuit Variational Quantum Circuit Positive Reinforcement Variational Quantum Algorithm Quantum Architecture Search

February 2, 2024

A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving
Rainer Trauth, Alexander Hobmeier, Johannes Betz
Reinforcement Learning Autonomous Driving Generalization Performance Path Planning Positive Reinforcement Motion Planning Algorithm

December 14, 2023

Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement
Yu Ji, Wen Wu, Yi Hu, Hong Zheng, Liang He
Positive Reinforcement Shot Prompting

December 8, 2023

Reinforcement Learning-Based Bionic Reflex Control for Anthropomorphic Robotic Grasping exploiting Domain Randomization
Hirakjyoti Basumatary, Daksh Adhar, Atharva Shrawge, Prathamesh Kanbaskar, Shyamanta M. Hazarika
Robotic Grasping Positive Reinforcement Domain Randomization Dexterous Grasping Anthropomorphic Robotic Hand Bionic Reflex

Positive Reinforcement

Papers

Revealing the learning process in reinforcement learning agents through attention-oriented metrics

REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability

Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRA

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification

Reinforcement learning-based architecture search for quantum machine learning

Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach

Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer

Reinforcement Learning-Based Model Matching in COBRA, a Slithering Snake Robot

Reinforcement Learning-Guided Semi-Supervised Learning

EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks

Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses

Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance

Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems

RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach

An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving

Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement

Reinforcement Learning-Based Bionic Reflex Control for Anthropomorphic Robotic Grasping exploiting Domain Randomization