r/reinforcementlearning
92k members
r/reinforcementlearning is a subreddit with 92k members. The most common kinds of discussions are solution requests and advice requests, and the community frequently discusses training, struggling, struggle, ppo, and rl, and they frequently recommend/review simulation software, tech stack, and graphics cards.
Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Examples are AlphaGo, clinical trials & A/B tests, and Atari game playing.
Popular Themes in r/reinforcementlearning
#1
Solution Requests
: "Help? Trying to use RL to teach a model how to play a two-player game with hidden information and randomness"
5 posts
#2
Advice Requests
: "Need advice on observation design and reward shaping for outdoor semantic-aware robot navigation (stuck in my thesis)"
4 posts
#3
Pain & Anger
: "Google copied our open-source code, removed our engineers’ names, and gave us zero credit one year after we beat them on their own benchmark"
2 posts
#4
Opportunities
: "Where do you think reinforcement learning could make the biggest difference in real-world apps?"
1 post
Popular Topics in r/reinforcementlearning
#1
Training
4 posts
#2
Struggling
4 posts
#3
Struggle
4 posts
#4
Ppo
4 posts
#5
Rl
2 posts
#6
Help
1 post
#7
Model
1 post
#8
Imitation
1 post
#9
Trajectory
1 post
#10
Self Driving
1 post
Products Discussed in r/reinforcementlearning
Simulation Software
7 reviews
#1
PyBullet
3.0★ from 2 reviews
#2
MuJoCo
1.0★ from 1 review
#3
Unreal
4.0★ from 1 review
Tech Stack
1 review
#1
SB3
4.0★ from 1 review
Graphics Cards
1 review
#1
NVIDIA
5.0★ from 1 review
Flair Used in r/reinforcementlearning
#1
Robot
: "We shipped a $400 robot with a full sim2real RL pipeline. It went viral, and we expect thousands of people to train behaviors on real hardware!"
16 posts
#2
DL
: "I literally build the jev architecture one year back and made it open-sourced"
12 posts
#3
P
: "Open-source Clash Royale simulator for RL (C++, ~10 ms per match, forkable state) + recurrent PPO, and the bugs the agent exposed"
10 posts
#4
Multi
: "The WikiSkill paper validates why we need separate agents for discovering vs. executing skills (and why 4B models make great teachers for 27B models)"
5 posts
#5
R
: "Biggest sim-to-real surprise you ever had"
4 posts
#6
D
: "What goes into building an RL environment for LLM agents?"
4 posts
#7
DL, MF, R
: ""Score Centering Stabilizes Off-policy Reinforcement Learning", Marek & Ryabinin 202 {Together.ai} (LLM RL is extremely sensitive to numeric issues)"
3 posts
#8
MetaRL
: "My AI learns to clear Super Mario Bros 1-1 in 15 mins and it is not PPO based"
2 posts
#9
DL, M, N
: "GPT-6 Astra can beat _Factorio_"
2 posts
#10
Psych
: "We adapted Microduck for Arduino UNO Q—here’s a look at XGO-Duck’s hardware, software, and simulation"
2 posts
Member Growth in r/reinforcementlearning
Yearly
+22k members(30.7%)
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197k members
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Last updated: October 10, 2026