SSwarit Shukla·Sep 22GRPO: How Language Models Learn to ReasonDo you remember the times when we used to make LLMs count the occurrence of a specific letter in a word, like "How many r's in strawberry?" Back then, LLMs used to get it wrong a lot of times, but now5 min read·swaritshukla.hashnode.dev
RRoopesh K·May 5A-OpenEnv: An Adaptive Curriculum Layer for Verifiable AI EnvironmentsA reinforcement-learning-inspired framework for making AI agent evaluation adaptive, reproducible, and difficulty-aware.13 min read·blog.roopeshk.dev1
KKashif·Feb 25Teaching Llama 3 to be PoliteSpent ~$3 on A100 (80GB) instance on RunPod8 min read·blog.ifkash.dev
AAbdulsalam Lukmon·Jan 12Reinforcement Learning in Trading: Use Cases and Step-by-Step Guide with Ray RLlibReinforcement Learning and Ray RLlib enhance trading strategies by enabling adaptive, continuously improving algorithmic systems5 min read·learn-with-litmus.hashnode.dev
Sshalin Shah·Jul 12, 2025Reinforcement Learning GuideWhat is Reinforcement Learning? Reinforcement Learning is a trial-and-error learning process where an agent learns to make decisions by interacting with an environment. Key Components • Agent: The learner/decision-maker • Environment: The world agent...2 min read·guide-reinforcement-learning.hashnode.dev
FFotie M. Constant·Mar 17, 2025Explaining Reinforcement Learning to My BarberExplaining reinforcement learning through a fun analogy of finding a reliable barber, highlighting trial, error, and learning from experience4 min read·blog.fotiecodes.com
RRasel Mahmud·Nov 14, 2024Comparison between Model-Based Q-Learning Vs. Model-Free Q-LearningA comparison table between Model-Based Q-Learning and Model-Free Q-Learning: AspectModel-Based Q-LearningModel-Free Q-Learning DefinitionUses a model of the environment (transition and reward functions) to make decisions.Learns directly from i...3 min read·ai-eng.hashnode.dev
