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221 articles · Updated every 3 hours · View all reads

All Articles 146,190Blog Posts 148,605Tech Tutorials 38,139Research Papers 28,816News 20,088 ⚡ AI Lessons
On-Policy vs Off-Policy Learning: The Most Misunderstood Distinction in Reinforcement Learning
Medium · AI 🎮 Reinforcement Learning ⚡ AI Lesson 1d ago
On-Policy vs Off-Policy Learning: The Most Misunderstood Distinction in Reinforcement Learning
From TD errors to GRPO — explained in words, with all the algebra kept in one place at the end, Continue reading on Medium »
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On-Policy vs Off-Policy Learning: The Most Misunderstood Distinction in Reinforcement Learning
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1d ago
On-Policy vs Off-Policy Learning: The Most Misunderstood Distinction in Reinforcement Learning
From TD errors to GRPO — explained in words, with all the algebra kept in one place at the end, Continue reading on Medium »
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When Rewards Fail: Why AI Needs Inverse Reinforcement Learning
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 4d ago
When Rewards Fail: Why AI Needs Inverse Reinforcement Learning
Imagine you want to train your puppy to understand your everyday language. If you say “sit,” the puppy instantly sits down on the floor… Continue reading on Med
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“The Hidden Problem with Pass-Rate Rewards in Reinforcement Learning for Code Generation”
Medium · AI 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago
“The Hidden Problem with Pass-Rate Rewards in Reinforcement Learning for Code Generation”
If you’ve trained reinforcement learning models for code generation, you’ve probably used pass rate as the reward. Continue reading on Medium »
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“The Hidden Problem with Pass-Rate Rewards in Reinforcement Learning for Code Generation”
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago
“The Hidden Problem with Pass-Rate Rewards in Reinforcement Learning for Code Generation”
If you’ve trained reinforcement learning models for code generation, you’ve probably used pass rate as the reward. Continue reading on Medium »
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How Machines Learn to Make Decisions: A Practitioner’s Guide to Reinforcement Learning
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago
How Machines Learn to Make Decisions: A Practitioner’s Guide to Reinforcement Learning
Imagine a thermostat that has to decide, right now, whether to turn the heating on. A simple version just checks the current temperature… Continue reading on Me
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When Machines Learned to Learn: A Brief Story of Reinforcement Learning
Medium · AI 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago
When Machines Learned to Learn: A Brief Story of Reinforcement Learning
How a theory of reward became the key to both artificial intelligence and understanding the human brain Continue reading on Medium »
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 1w ago
Deconstructing Off-Policy Ratios: Entropy-Scaled Trust Regions for Asynchronous Reinforcement Learning
arXiv:2607.22186v1 Announce Type: new Abstract: Asynchronous reinforcement learning (RL) accelerates large language model (LLM) post-training by overlapping rol
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I Taught an Agent to Act Directly - No Q-Values Needed (Day 6: REINFORCE)
Dev.to · Madhumitha Kolkar 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago
I Taught an Agent to Act Directly - No Q-Values Needed (Day 6: REINFORCE)
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) Days 4 and 5 were value-based...
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 2w ago
It Takes 8 Tokens: Weak-to-Strong Off-Policy RL via Auxiliary Branches
arXiv:2607.16205v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards has emerged as a standard approach for enhancing reasoning in lar
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A Practical Guide to Implementing the REINFORCE Algorithm in Python (Part 5)
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 4w ago
A Practical Guide to Implementing the REINFORCE Algorithm in Python (Part 5)
Learn how to build the REINFORCE algorithm from scratch using Python, PyTorch, and Gymnasium with a step-by-step, beginner-friendly… Continue reading on Medium
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 4w ago
Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies
arXiv:2607.07029v1 Announce Type: cross Abstract: Reinforcement learning (RL) policies can be unsafe and vulnerable to attacks. Ensuring their reliability is of
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 4w ago
RLVP: Penalize the Path, Reward the Outcome
arXiv:2607.07435v1 Announce Type: cross Abstract: Agents acting on our behalf in the real world (e.g. placing phone calls) must learn online from costly, often
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 1mo ago
Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation
arXiv:2607.05541v1 Announce Type: cross Abstract: Reinforcement Learning is commonly used to train large language models using environmental feedback. In applie
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Offline Reinforcement Learning — Learning When You Can’t Try Things
Medium · Python 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
Offline Reinforcement Learning — Learning When You Can’t Try Things
Algorithms in Python — Advanced Reinforcement Learning, Part 7 Continue reading on Medium »
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A Practical Guide to Implementing the REINFORCE Algorithm in Python(Part 3)
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
A Practical Guide to Implementing the REINFORCE Algorithm in Python(Part 3)
Learn how to build the REINFORCE algorithm from scratch using Python, PyTorch, and Gymnasium with a step-by-step, beginner-friendly… Continue reading on Medium
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 1mo ago
Ensemble Elastic DQN: A Step Dependent Ensemble Approach for Reducing Overestimation in Deep Value-Based Reinforcement Learning
arXiv:2506.05716v2 Announce Type: replace-cross Abstract: Deep Q-Networks (DQN) can suffer from overestimation bias because bootstrapped targets use a maximisat
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 1mo ago
The Three Regimes of Offline-to-Online Reinforcement Learning
arXiv:2510.01460v4 Announce Type: replace-cross Abstract: Offline-to-online reinforcement learning (RL) has emerged as a practical paradigm that leverages offli
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ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 1mo ago
Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control
arXiv:2603.10938v2 Announce Type: replace-cross Abstract: Safe Reinforcement Learning from Human Feedback (RLHF) typically enforces safety through expected cost
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Soft Actor-Critic — Exploration Becomes Part of the Objective
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
Soft Actor-Critic — Exploration Becomes Part of the Objective
Algorithms in Python— Advanced Reinforcement Learning, Part 5 Continue reading on Medium »
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Soft Actor-Critic — Exploration Becomes Part of the Objective
Medium · Python 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
Soft Actor-Critic — Exploration Becomes Part of the Objective
Algorithms in Python— Advanced Reinforcement Learning, Part 5 Continue reading on Medium »
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A Practical Guide to Implementing the REINFORCE Algorithm in Python(Part 2)
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
A Practical Guide to Implementing the REINFORCE Algorithm in Python(Part 2)
Learn how to build the REINFORCE algorithm from scratch using Python, PyTorch, and Gymnasium with a step-by-step, beginner-friendly… Continue reading on Medium
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RLHF vs Agent RL: A Model Weight Diff Study
Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
RLHF vs Agent RL: A Model Weight Diff Study
Weight Watchers: I put open models on the scale. This one started as a family-fork story and turned into something better: a… Continue reading on Medium »
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RLHF vs Agent RL: A Model Weight Diff Study
Medium · LLM 🎮 Reinforcement Learning ⚡ AI Lesson 1mo ago
RLHF vs Agent RL: A Model Weight Diff Study
Weight Watchers: I put open models on the scale. This one started as a family-fork story and turned into something better: a… Continue reading on Medium »
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