#Reward

Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer…

Fine-tuning Qwen3 for advanced math reasoning using GRPO: boosting precision, structure, and problem-solving accuracy post-training.

We develop a simple method for learning goal-directed behavior from pretraining on internet-scale video, and use it to train a model capable of achieving diverse and out-of-distribution goals in Minecraft.…

Autonomous AI agents are taking on all types of work for businesses: routing logistics fleets, triaging support tickets, generating code…

TL;DR: Our DPO pipeline used a single LLM as the preference judge. Training reward climbed every run....

The moment that made me want to understand this I was deep in FinMentor — my multi-agent...

From Dev.to - machinelearning: Understanding Reinforcement Learning with Neural Networks Part 4: Positive and Negative Rewards

Humans and other animals are constantly required to make decisions under uncertain conditions or while in rapidly changing environments. Past psychology and biology studies showed that some decision-making strategies can be more effective than others in…

Greetings all! Quick context: this is part of an ongoing series where I'm building Rainbow DQN one...

From Dev.to - ai: Your Next Top-Up Might Cost Zero: The Giveaway Post I Built for Yahya's Diamond Drop

From Dev Community: What is a bonding‑curve reward token? Inside Immute's on‑chain dividend mechanic

From Dev.to - javascript: Mobile App Loyalty Programmes for Shopify Brands: Building Repeat Revenue (2026)

Evolution Is Back: A New Way to Fine‑Tune LLMs If you grew up around game AIs and coding forums,...

Reinforcement Learning (RL) is notoriously difficult to debug. You design a reward function, start...

"I is not singular" — qwen3:8b + per-agent LoRA + unconscious baseline + 4-module "God" LLM. (Yes, "is" is intentional.)

Hey fellow social managers, I’ve been diving deep into retention data lately, and there’s a massive shift happening that we should probably talk about. For years, we’ve relied on pure entertainment (TikTok style) to keep users on app.…

The petitioner claimed before the Madras High Court that the information he had shared led to the seizure of 50 vehicles during 2012-14, involving alleged customs duty evasion of Rs 48.5 crore.

From Dev.to - ai: Title: I built a reward analysis tool for AI alignment — here's why reward hacking is harder to detect than you think