REPOGEO REPORT · LITE
sweetice/Deep-reinforcement-learning-with-pytorch
Default branch master · commit 7b9fac7e · scanned 6/24/2026, 10:38:14 AM
GitHub: 4,635 stars · 898 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface sweetice/Deep-reinforcement-learning-with-pytorch, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README opening to highlight 'learning' and 'clear implementations'
Why:
CURRENT**Status:** Active (under active development, breaking changes may occur) This repository will implement the classic and state-of-the-art deep reinforcement learning algorithms. The aim of this repository is to provide clear pytorch code for people to learn the deep reinforcement learning algorithm.
COPY-PASTE FIXThis repository provides **clear, pedagogical PyTorch implementations** of classic and state-of-the-art deep reinforcement learning algorithms, designed specifically for **learning and understanding** DRL concepts. It aims to be an accessible resource for students and practitioners to grasp the underlying mechanics of algorithms like DQN, AC, A2C, A3C, PPO, SAC, and TD3 through runnable code. **Status:** Active (under active development, breaking changes may occur)
- mediumhomepage#2Add a homepage URL to the repository settings
Why:
COPY-PASTE FIXhttps://github.com/sweetice/Deep-reinforcement-learning-with-pytorch
- lowtopics#3Remove generic and non-core topics, consolidate similar ones
Why:
CURRENTa2c, a3c, actor-critic, actor-critic-algorithm, algorithm, alphago, deep-learning, deep-reinforcement-learning, dqn, policy-gradient, ppo, pytorch, reinforce, resnet, sac, sarsa, td3, trpo
COPY-PASTE FIXa2c, a3c, actor-critic, alphago, deep-learning, deep-reinforcement-learning, dqn, policy-gradient, ppo, pytorch, reinforce, sac, sarsa, td3, trpo
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Stable Baselines3 (SB3) · recommended 2×
- CleanRL · recommended 2×
- RLlib (part of Ray) · recommended 1×
- pytorch/examples · recommended 1×
- Minigrid-Baselines (by Farama Foundation) · recommended 1×
- CATEGORY QUERYWhat are good PyTorch implementations for learning various deep reinforcement learning algorithms?you: not recommendedAI recommended (in order):
- Stable Baselines3 (SB3)
- CleanRL
- RLlib (part of Ray)
- PyTorch-RL (by pytorch/examples) (pytorch/examples)
- Minigrid-Baselines (by Farama Foundation)
- Deep Reinforcement Learning in Action (book's code)
AI recommended 6 alternatives but never named sweetice/Deep-reinforcement-learning-with-pytorch. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find a comprehensive collection of modern deep reinforcement learning algorithms in PyTorch?you: not recommendedAI recommended (in order):
- CleanRL
- Stable Baselines3 (SB3)
- RLlib
- Tianshou
- PyTorch-DRL (by Pytorch-Lightning-Bolts)
AI recommended 5 alternatives but never named sweetice/Deep-reinforcement-learning-with-pytorch. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of sweetice/Deep-reinforcement-learning-with-pytorch?passAI named sweetice/Deep-reinforcement-learning-with-pytorch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts sweetice/Deep-reinforcement-learning-with-pytorch in production, what risks or prerequisites should they evaluate first?passAI named sweetice/Deep-reinforcement-learning-with-pytorch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo sweetice/Deep-reinforcement-learning-with-pytorch solve, and who is the primary audience?passAI did not name sweetice/Deep-reinforcement-learning-with-pytorch — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of sweetice/Deep-reinforcement-learning-with-pytorch. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/sweetice/Deep-reinforcement-learning-with-pytorch)<a href="https://repogeo.com/en/r/sweetice/Deep-reinforcement-learning-with-pytorch"><img src="https://repogeo.com/badge/sweetice/Deep-reinforcement-learning-with-pytorch.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
sweetice/Deep-reinforcement-learning-with-pytorch — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite