#Reinforcement Learning

1009 related articles

Jul 28, 2026·3 min

PIRL Framework Explained: A Smooth Transition from Open-Loop Exploration to Closed-Loop Reinforcement Learning

Deep dive into the PIRL reinforcement learning framework: how to smoothly transition from open-loop exploration to closed-loop RL, mitigating the exploration-exploitation dilemma and improving sample efficiency.

Jul 20, 2026·2 min

OpenSpiel 2.0 Released: Reinforcement Learning Framework Fully Embraces Large Language Models

OpenSpiel 2.0 by Google DeepMind adds LLM fine-tuning examples, MCP tool server, JSON trajectories, AlphaZero on JAX, 19 new games, and Windows support.

Jul 19, 2026·3 min

Greenhouse Controller Showdown: Why Reinforcement Learning Lost to a Rule-Based Baseline

An open benchmark in GreenLight-Gym2 compares four greenhouse controllers, revealing why model-free RL (PPO) underperforms hand-tuned rules and how MPC and hybrid RL-in-MPC approaches can help.

Jul 19, 2026·2 min

RL3: A Zero-Code Reinforcement Learning Platform Where You Train Agents by Dragging and Dropping

RL3 is a zero-code, browser-based reinforcement learning platform featuring drag-and-drop environment design, visual reward configuration, and Q-learning/PPO training. Built by an indie developer over 15 months to make RL accessible to everyone.

Jul 17, 2026·2 min

DecisionRL: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making

DecisionRL is an open-source RL library for operational decision-making, with six built-in scenarios (inventory, pricing, energy), OR baselines, and support for DQN, PPO, SAC, and more.

Training an RL Agent That Can Do RL: A…

Jul 16, 2026·2 min

Training an RL Agent That Can Do RL: A Deep Dive into Meta-Reinforcement Learning Self-Improvement

An independent developer ran a meta-RL experiment at near-zero cost — training an agent to autonomously perform RL training. Explore the technical depth, cost model, and industry implications.

Jul 16, 2026·2 min

Carmack and Sutton's First Paper: How Physical Atari Challenges Real-Time Reinforcement Learning

Keen Technologies releases its first paper, bringing classic Atari benchmarks into the physical world via robotic arms and cameras. A deep dive into the paper's core claims, sim-to-real challenges, and Carmack and Sutton's vision for embodied RL and AGI.

Jul 16, 2026·2 min

Selling Reinforcement Learning Environments: Real Business Opportunity or Phantom Demand?

Can selling RL environments be a viable startup? We break down TAM, technical barriers, Scale AI competition, and real niche opportunities in this emerging space.

decisionrl: An Open-Source Reinforceme…

Jul 15, 2026·2 min

decisionrl: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making

decisionrl is an open-source RL library for operational decisions, with built-in environments for inventory, pricing, supply chain, and OR baselines for comparison. Built on PyTorch, MIT licensed.

Jul 15, 2026·2 min

Reinforce: A Developer's Open-Source Python Library for Reinforcement Learning — Lightweight and Readable

Developer Denis Drobyshev releases Reinforce, his first open-source RL Python library on GitHub. Learn about its value for beginners, common challenges in new open-source projects, and how to contribute.

NVFP4 in Reinforcement Learning Traini…

Jul 14, 2026·2 min

NVFP4 in Reinforcement Learning Training: Stability Challenges and Engineering Practices for 4-Bit Quantization

A deep dive into the stability challenges of NVIDIA NVFP4 (4-bit float) in RL training — covering precision evolution, numerical instability root causes, mixed precision strategies, and dynamic scaling solutions.

Jul 10, 2026·4 min

Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL

A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.

Jul 8, 2026·7 min

Metacognitive Feedback: Using Reinforcement Learning to Help LLMs Accurately Express Uncertainty

LLMs are often overconfident and prone to hallucination. How can AI learn to say "I'm not sure"? This article explains the reinforcement learning approach with metacognitive feedback and how calibrating confidence boosts LLM trustworthiness.

Jun 7, 2026·4 min

Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering

Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.

Inside Cursor Composer 2 Training: A Complete Breakdown of Its Distributed Reinforcement Learning Architecture

Research

May 27, 2026·3 min

Inside Cursor Composer 2 Training: A Complete Breakdown of Its Distributed Reinforcement Learning Architecture

Deep dive into how Cursor trained Composer 2 on Fireworks: async pipeline architecture, MoE numerical precision challenges, Router Replay, and global distributed GPU coordination.

Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker

Deep Dives

May 15, 2026·3 min

Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker

How RL, Self-Play, and Verifiers work together to evolve LLM reasoning — driving the leap from SFT imitation to true System 2 deep thinking.

Jul 28, 2026·3 min

Preparation Guide for NLP Research Scientist Internships: Key Focus Areas and Common Pitfalls

A comprehensive guide to preparing for NLP Research Scientist Intern roles, covering evaluation criteria, foundational knowledge, paper reading strategies, hands-on skills, and common pitfalls.

Jul 28, 2026·2 min

Gemini 3.6 Flash Hands-On: Upgrades in Both Quality and Token Efficiency

In-depth analysis of Google Gemini 3.6 Flash's core upgrades including output quality improvements and token consumption optimization, with developer migration advice.

Jul 28, 2026·1 min

AI Model Iteration Accelerates: Has GPT-5 Already Been Surpassed by Smaller Models? The Rise of Open Source

Exploring the accelerating AI model iteration trend: open-source models like Qwen3.6 27B rival GPT-5 in benchmarks. Analysis of the technical reasons, open-source rise, and future competition.

Jul 28, 2026·1 min

AI Model Iteration Accelerates: Has GPT-5 Already Been Surpassed by Smaller Models? The Rise of Open Source

Exploring the accelerating AI model iteration trend: open-source models like Qwen3.6 27B rival GPT-5 in benchmarks. Analysis of the technical reasons, open-source rise, and future implications.