Proximal Policy Optimization

April 5, 2024

A proximal policy optimization based intelligent home solar management
Kode Creer, Imitiaz Parvez
Proximal Policy Optimization Smart Grid Electricity Market Stochastic Reward
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
Xudong Guo, Daming Shi, Junjie Yu, Wenhui Fan
Multi Agent Reinforcement Learning Proximal Policy Optimization Multi Agent Challenge Zero Shot Coordination PPO Algorithm Heterogeneous Multi Agent Reinforcement Learning Real World Multi Agent

April 3, 2024

March 12, 2024

Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control
Mike Timmerman, Aryan Patel, Tim Reinhart
Reinforcement Learning Proximal Policy Optimization Continuous Control Quadrotor Control Automatic Gain Control

March 11, 2024

$\mathbf{(N,K)}$-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model
Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
Language Model Reinforcement Learning Proximal Policy Optimization Reinforcement Learning Algorithm Generative Language Model Reinforcement Learning Benchmark K Content Test Bed Direct Policy

March 4, 2024

ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization
Yao Zhao, Tao Wu, Yijie Zhu, Xiang Lu, Jun Wang, Haitham Bou-Ammar, Xinyu Zhang, Peng Du
LeArning Abstract Proximal Policy Optimization Quadrupedal Robot Quadrupedal Locomotion Real to Sim

February 28, 2024

Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization
Shuo Yang, Gjergji Kasneci
Language Model Pre Trained Language Model Proximal Policy Optimization Crowdsourcing Context Self Supervised Task Memory Efficient Fine Tuning

February 25, 2024

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, Anh Tuan Luu
Reinforcement Learning Human Feedback Proximal Policy Optimization Language Model Alignment Reward Value

February 22, 2024

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker
Reinforcement Learning LeArning Abstract Medical LLM Human Feedback Proximal Policy Optimization Style Representation Online Reinforcement Learning AI Alignment Basic Concept

February 15, 2024

RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models
Saeed Khaki, JinJin Li, Lan Ma, Liu Yang, Prathap Ramachandra
Reinforcement Learning Proximal Policy Optimization Alignment Problem Direct Preference Optimization Contrastive Example Rejection Sampling Policy Fine Tuning

February 14, 2024

Reinforcement Learning from Human Feedback with Active Queries
Kaixuan Ji, Jiafan He, Quanquan Gu
Large Language Model Reinforcement Learning Human Feedback Proximal Policy Optimization Direct Preference Optimization Human Preference Reinforcement Learning From Human Feedback

January 29, 2024

Simple Policy Optimization
Zhengpeng Xie, Qiang Zhang, Renjing Xu
Proximal Policy Optimization Policy OpTimization Trust Region Policy Optimization Policy Entropy

January 25, 2024

Learning fast changing slow in spiking neural networks
Cristiano Capone, Paolo Muratore
Reinforcement Learning Neural Network LeArning Abstract Proximal Policy Optimization Experience Replay Stability Plasticity Policy Alignment

January 23, 2024

January 21, 2024

Information-Theoretic State Variable Selection for Reinforcement Learning
Charles Westphal, Stephen Hailes, Mirco Musolesi
Reinforcement Learning Proximal Policy Optimization Transfer Entropy Tabular Q Learning

January 18, 2024

Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
Alec Wilson, Ryan Menzies, Neela Morarji, David Foster, Marco Casassa Mont, Esin Turkbeyler, Lisa Gralewski
Multi Agent Reinforcement Learning Proximal Policy Optimization Multi Agent Proximal Policy Optimization Maritime Surveillance Autonomous Cyber

January 10, 2024

Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
Deep Reinforcement Learning Proximal Policy Optimization Control Barrier Function Software Defined Load Balancing Load Safety

Papers

A proximal policy optimization based intelligent home solar management

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration

Learning Quadrupedal Locomotion via Differentiable Simulation

Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering

Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control

$\mathbf{(N,K)}$-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model

ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization

Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models

Reinforcement Learning from Human Feedback with Active Queries

Simple Policy Optimization

Learning fast changing slow in spiking neural networks

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants

Backpropagation Through Agents

Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representations

Information-Theoretic State Variable Selection for Reinforcement Learning

Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security

Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning