eu.36kr

A classic work, the PPO algorithm: It was once rejected by NeurIPS.

PPO (Proximal Policy Optimization), a classic algorithm that was later widely used in RLHF and large model training, was rejected by NIPS 2017 back then. This matter was recently brought up by John ...
IEEE

Enhanced Policy Update Mechanism for PPO-Inspired Algorithms in Intelligent Agent-Based Games

Abstract: In this paper, we propose KL-Beyond-Clip PPO (KLBC-PPO), a novel algorithm derived from PPO, designed to offer a more efficient policy update mechanism. The PPO-Clip algorithm limits the ...
GitHub

Comparing a classical Destination Dispatching algorithm against a PPO-trained reinforcement learning agent in a custom-built Gymnasium simulation environment.

elevator-ai/ ├── environment/ │ ├── building.py # Core simulation entities │ ├── elevator_env.py # Gymnasium environment │ └── traffic_patterns.py # Probabilistic passenger spawning ├── agents/ │ ├── ...
GitHub

Car Racing PPO

This repository provides an implementation of the Proximal Policy Optimization (PPO) algorithm for training an agent to master the CarRacing-v3 environment from OpenAI Gym with StableBaselines3. It ...
Frontiers

Real-time torque distribution simulation of parallel hybrid vehicle engine

Parallel hybrid vehicles face challenges in real-time torque distribution, including slow feedback speeds and suboptimal energy allocation, which constrain overall energy efficiency. This study aims ...
marktechpost

New AI Method From Meta and NYU Boosts LLM Alignment Using Semi-Online Reinforcement Learning

Large language models often require a further alignment phase to optimize them for human use. In this phase, reinforcement learning plays a central role by enabling models to make decisions based on ...
marktechpost

RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement Learning

LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms for LLMs, including GRPO, VinePPO, and Leave-one-out PPO, have ...
chromatographyonline

Improving LC Method Development Using Machine Learning

KU Leuven and Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement learning (RL) for liquid chromatography (LC) method development. Their findings were published in the ...