#reinforcement learning
986 related articles
·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.
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·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.
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·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.
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·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.
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Training an RL Agent That Can Do RL: A…
·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.
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·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.
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·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.
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decisionrl: An Open-Source Reinforceme…
·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.
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·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.
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NVFP4 in Reinforcement Learning Traini…
·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.
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·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.
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·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.
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·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.
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Research·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.
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Deep Dives·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.
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·2 min
Kimi 3 Added to Pro Subscription: Accelerating Commercialization of Chinese LLMs
Kimi 3 joins the Pro subscription plan, giving paying users direct access to the latest flagship model. Analysis of Kimi 3's upgrades, Moonshot AI's subscription strategy, and China's evolving LLM landscape.
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·2 min
Kimi 3 Included in Pro Subscription: Accelerating Commercialization of Chinese LLMs
Kimi 3 is now included in the Pro subscription plan, giving paying users direct access to the latest flagship model. This article analyzes Kimi 3's upgrades, Moonshot AI's subscription strategy, and shifts in China's LLM competitive landscape.
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·3 min
Claude Code vs Codex: Hands-On Comparison and Installation Guide for AI Programming Tools
In-depth comparison of Claude Code and Codex AI programming tools covering accuracy, installation, and network setup tips to help developers choose the best solution.
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·3 min
Comparing Ways for Users in China to Access ChatGPT: Are Mirror Platforms Reliable?
An in-depth analysis of the barriers Chinese users face accessing ChatGPT, an honest assessment of third-party mirror platforms' risks, and safer alternatives including official APIs and domestic LLMs.
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·3 min
How to Elegantly Access Top AI Models Like GPT and Claude from China
Chinese users face registration, payment, and network barriers when accessing GPT, Claude, and other top AI models. This guide covers AI aggregation platforms as a one-stop solution.
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