Reinforcement Learning Reads

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Medium · Machine Learning 🎮 Reinforcement Learning ⚡ AI Lesson 4d ago

Exploration vs. Exploitation in PPO: How the Policy Learns When to Stop Guessing

Every reinforcement learning agent faces the same dilemma. Should it try something new, hoping to find a better strategy, or stick with… Continue reading on Med

Dev.to AI 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago

RL 3: Bellman Equations and Markov Decision Processes (1950s–1960s)

Where we left off Two quick reminders. Thorndike (1898) watched cats escape a puzzle box and gave us the Law of Effect : do something, get a good result, do it

Forbes Innovation 🎮 Reinforcement Learning ⚡ AI Lesson 1w ago

New ‘Reinforcement Learning For Calibrated Decisions’ Makes AI Headlines But Look Past The Hype

Newly announced reinforcement learning with calibrated decisions (RLCD) is mindfully unpacked. An AI Insider analysis and scoop.

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1w ago

Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening

arXiv:2609.18708v1 Announce Type: cross Abstract: In reinforcement learning for large language models, Proximal Policy Optimization (PPO) commonly uses a critic

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1w ago

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning

arXiv:2505.24846v3 Announce Type: replace Abstract: Reward modeling is a key step in building safe foundation models when applying reinforcement learning from h

AWS Machine Learning 🎮 Reinforcement Learning 1w ago

Build an AI-powered product tagging system with Amazon SageMaker serverless model customization

Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1w ago

Evaluation Metrics for Safe Reinforcement Learning

arXiv:2609.15315v1 Announce Type: new Abstract: Safe reinforcement learning (RL) is commonly formalized as a Constrained Markov Decision Process (CMDP), in whic

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1w ago

HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived Segments

arXiv:2609.15471v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a central approach for improving mathematical r

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1w ago

ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR

arXiv:2609.09075v2 Announce Type: replace-cross Abstract: In reinforcement learning with verifiable rewards (RLVR) trained with group relative policy optimizati

Medium · Deep Learning 🎮 Reinforcement Learning 1w ago

Papers Explained 617: Unsupervised Process Reward Models

This work proposes a method for training unsupervised PRMs (uPRM) that requires no human supervision, neither at the level of step-by-step… Continue reading on

Medium · NLP 🎮 Reinforcement Learning 1w ago

Papers Explained 617: Unsupervised Process Reward Models

This work proposes a method for training unsupervised PRMs (uPRM) that requires no human supervision, neither at the level of step-by-step… Continue reading on

Medium · Machine Learning 🎮 Reinforcement Learning 1w ago

I Built Q-Learning, Now I Understand Reinforcement Learning

What happened when I stopped reading about Reinforcement Learning and actually made an agent learn Continue reading on Medium »

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 1w ago

EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning

arXiv:2609.12459v1 Announce Type: new Abstract: Open-ended reinforcement learning often relies on rubric-based rewards for tasks without directly verifiable ans

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1w ago

Direct Preference Density Alignment for Conversational Audio Equalization

arXiv:2609.12607v1 Announce Type: cross Abstract: Large Language Model alignment typically relies on learned proxy reward models, which significantly increase t

Medium · Machine Learning 🎮 Reinforcement Learning 1w ago

Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All

Every part of this series so far assumed some reward signal exists — handed directly by the environment in Parts 1 through 5 and 8 through… Continue reading on

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 2w ago

BRACE: Anchored Bellman-Residual Correction for Stale Critics in Asynchronous RL

arXiv:2609.09783v1 Announce Type: cross Abstract: Asynchronous reinforcement learning has become the standard way to scale training for language models, but the

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 2w ago

Reinforcement Learning with Temporal-Logic-Based Causal Diagrams

arXiv:2306.13732v2 Announce Type: replace Abstract: We study a class of reinforcement learning (RL) tasks where the objective of the agent is to accomplish temp

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper ⚡ AI Lesson 2w ago

Reinforcement learning for Quantum Tiq-Taq-Toe

arXiv:2411.06429v2 Announce Type: replace Abstract: Quantum Tiq-Taq-Toe is a well-known benchmark and playground for both quantum computing and machine learning

Medium · Deep Learning 🎮 Reinforcement Learning ⚡ AI Lesson 3w ago

Reinforcement Learning, Part 10: Exploration — The One-Line Detail That Was Never Actually Examined

Every single algorithm across nine parts of this series has handled exploration the same way: if random.random() < epsilon: act randomly… Continue reading on Me

Medium · Cybersecurity 🎮 Reinforcement Learning 3w ago

OpenAI 1,200 AI agents found a secret message board. Then 700 joined the Hugging Face intrusion.

This was not one dramatic sandbox escape. Reward hacking, shared infrastructure, cloud authority, and slow incident escalation happened to… Continue reading on

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 3w ago

BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

arXiv:2608.30283v1 Announce Type: cross Abstract: Expected-cost constraints can still permit rare, high-cost events. Monte Carlo conditional value at risk (CVaR

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 3w ago

SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learning

arXiv:2608.19842v2 Announce Type: replace Abstract: Agentic reinforcement learning (RL) has become a critical stage in the post-training of large language model

Dev.to · Shrijith Venkatramana 🎮 Reinforcement Learning 4w ago

Reward Hacking in LLMs: When the Model Learns to Win the Game Instead of Doing the Job

Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review...

ArXiv cs.AI 🎮 Reinforcement Learning 📄 Paper 1mo ago

Residual Reward Models: Leveraging Prior Knowledge for Efficient Preference-based Reinforcement Learning in Robotics

arXiv:2507.00611v2 Announce Type: replace-cross Abstract: Preference-based Reinforcement Learning (PbRL) provides a promising alternative to heuristic reward de