Tag: PPO
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Gymnasium vs Stable Baselines3 vs RLlib: API Complexity
Beginners waste weeks on RLlib setup before training one agent. Here's why Stable Baselines3 beats distributed frameworks for your first 3 RL projects.
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DQN vs PPO vs SAC: MuJoCo Training Speed Benchmarks
DQN fails on continuous control. SAC beats PPO 2-3x in sample efficiency but costs 20% more wall-clock time. Real benchmarks on HalfCheetah, Hopper, Ant.
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Custom Gymnasium Environment: Portfolio Project Guide
Build a custom Gymnasium environment from scratch for your portfolio. Learn registration, spaces, and reward shaping that makes recruiters take notice.
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SimpleRL: Building DQN to PPO from Scratch in 500 Lines
Build DQN and PPO reinforcement learning algorithms from scratch in under 500 lines. Step-by-step implementation guide with minimal dependencies.
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PPO Hyperparameters That Crash in Production: 5 Silent Failures
Fixed clip range, constant entropy, and training-optimized batch sizes silently kill production RL agents. Here's what actually breaks.
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PPO: Why It Powers ChatGPT and Game AI
Deep dive into Proximal Policy Optimization โ the clipping trick, GAE, hyperparameters, and why PPO became the backbone of RLHF in modern LLMs.
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GRPO vs PPO for LLM Reasoning: DeepSeek-R1 Explained
How DeepSeek-R1 trains chain-of-thought reasoning with GRPO instead of PPO. Group Relative Policy Optimization removes the critic network, cuts memory by 40%, and produces emergent self-verification behaviors. Full algorithm breakdown with PyTorch code.
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RLHF Review: InstructGPT and Human Feedback Training
How InstructGPT's 1.3B model with RLHF beats 175B GPT-3. Full breakdown of SFT, reward modeling, and PPO training โ with the catches they skip.