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Q-Learning From Scratch: Reinforcement Learning in a Gridworld
Dev.to · Devanshu Biswas 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
Q-Learning From Scratch: Reinforcement Learning in a Gridworld
No labels, no "correct answer" — just rewards. Reinforcement learning lets an agent figure out the...
Reinforcement Learning with Verifiable Rewards: Why AI is Learning to Grade Its Own Homework
Dev.to · Shrijith Venkatramana 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
Reinforcement Learning with Verifiable Rewards: Why AI is Learning to Grade Its Own Homework
Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every...
The Missing Piece in Jason Wei's Framework: When to Go On-Policy
Dev.to · keeper 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
The Missing Piece in Jason Wei's Framework: When to Go On-Policy
The Missing Piece in Jason Wei's Framework: When to Go On-Policy Jason Wei — the...
On Optimization Objectives in Reinforcement Learning
Dev.to · Garrin Costa, Jr. 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
On Optimization Objectives in Reinforcement Learning
Reinforcement Learning: Optimization and Objective Methods There are a few paradigms or...
How to Stop Shipping Low-Quality RL Environments (with Examples)
Latent Space 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
How to Stop Shipping Low-Quality RL Environments (with Examples)
Your broken harness is actively making the model worse. Here's what I keep seeing after years of eyeballing trajectories, and what you need to fix.
Understanding Reinforcement Learning with Human Feedback Part 6: How the Reward Model Trains the Original Model
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Human Feedback Part 6: How the Reward Model Trains the Original Model
In the previous article, we used loss functions and trained our reward model. In this article, we...
Understanding Reinforcement Learning with Human Feedback Part 5: Training the Reward Model with Loss Functions
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Human Feedback Part 5: Training the Reward Model with Loss Functions
In the previous article, we created a reward model. In this article, we will continue exploring how...
Understanding Reinforcement Learning with Human Feedback Part 4: Teaching Models Human Preferences
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Human Feedback Part 4: Teaching Models Human Preferences
In the previous article, we explored the part where we collect human preferences. In this article, we...
Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models
In the previous article, we explored the concept of pre-training and its limitations without a...
Understanding Reinforcement Learning with Neural Networks Part 6: Completing the Reinforcement Learning Process
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Neural Networks Part 6: Completing the Reinforcement Learning Process
In the previous article we covered the basics of training, and how rewards, derivatives and step-size...
RLHF in 2026: when to pick PPO, DPO, or verifier-based RL
Dev.to · saurabh naik 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
RLHF in 2026: when to pick PPO, DPO, or verifier-based RL
A working engineer's guide to InstructGPT-style RLHF — SFT, reward modeling, PPO with KL, DPO, and when RLVR replaces all of it.
Understanding Reinforcement Learning with Neural Networks Part 5: Connecting Reward, Derivative, and Step Size
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Neural Networks Part 5: Connecting Reward, Derivative, and Step Size
In the previous article, we explored the reward system in reinforcement learning In this article, we...
Understanding Reinforcement Learning with Neural Networks Part 4: Positive and Negative Rewards
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 2mo ago
Understanding Reinforcement Learning with Neural Networks Part 4: Positive and Negative Rewards
In the previous article, we began the process of guessing the ideal output. Let us continue with the...
Understanding Reinforcement Learning with Neural Networks Part 3: Guessing the Ideal Output
Dev.to · Rijul Rajesh 🎮 Reinforcement Learning ⚡ AI Lesson 3mo ago
Understanding Reinforcement Learning with Neural Networks Part 3: Guessing the Ideal Output
In the previous article, we explored the limitations of backpropagation and why it is not ideal when...
Removing PER From Rainbow DQN Set a New Snake AI World Record
Dev.to · Stat Phantom 🎮 Reinforcement Learning ⚡ AI Lesson 3mo ago
Removing PER From Rainbow DQN Set a New Snake AI World Record
Greetings all! Quick context: this is part of an ongoing series where I'm building Rainbow DQN one...
Top 5 Reinforcement Learning Environments
Dev.to · Ethan 🎮 Reinforcement Learning ⚡ AI Lesson 3mo ago
Top 5 Reinforcement Learning Environments
An RL agent has nothing to learn from without an environment to act in. This piece covers what an RL...
Setting up a local RL environment in 2026 and WHAT I wish I knew!!!
Dev.to · Luca Ostermann 🎮 Reinforcement Learning ⚡ AI Lesson 3mo ago
Setting up a local RL environment in 2026 and WHAT I wish I knew!!!
I spent three days last month getting a reinforcement learning environment to run locally before I...
I Built an Interactive RL Playground to Help Me Learn Sutton & Barto
Dev.to · Jem Herbert-Rice 🎮 Reinforcement Learning ⚡ AI Lesson 3mo ago
I Built an Interactive RL Playground to Help Me Learn Sutton & Barto
It's been a while since I've been able to get into this again - sometimes life just throws things...
Reinforcement Learning / Q Learning Basics with Tic Tac Toe
Dev.to · Harsh Agnihotri 🎮 Reinforcement Learning ⚡ AI Lesson 4mo ago
Reinforcement Learning / Q Learning Basics with Tic Tac Toe
Hi Fam, on my journey of learning AI & ML, since I am too dumb to just make "AI Learns to walk"...
Human-Aligned Decision Transformers for deep-sea exploration habitat design under real-time policy constraints
Dev.to · Rikin Patel 🎮 Reinforcement Learning ⚡ AI Lesson 4mo ago
Human-Aligned Decision Transformers for deep-sea exploration habitat design under real-time policy constraints
While exploring reinforcement learning architectures for autonomous systems, I stumbled upon a fascinating challenge that would consume my research for months.