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r/reinforcementlearning
59k members
r/reinforcementlearning is a subreddit with 59k members. Its distinguishing qualities are that the community is large in size.
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
Advice Requests
: "Must read papers for Reinforcement Learning"
22 posts
#2
Solution Requests
: "Best physics engine for reinforcement learning with parallel GPU training?"
7 posts
#3
Ideas
: "[P] Building an Reinforcement Learning Agent to play The Legend of Zelda"
3 posts
#4
Opportunities
: "Do most RL jobs need a PhD?"
3 posts
#5
Self-Promotion
: "Introducing ReinforceUI Studio, Eliminates the hassle of managing extra repositories or memorizing complex command lines. #ReinforcemetLearning"
1 post
Popular Topics in r/reinforcementlearning
#1
Rl
: "Why is Rl fine-tuning on LLMs so easy and stable, compared to the Rl we're all doing?"
142 posts
#2
Reinforcement Learning
: "I built a AI to Play Dark Souls, through Reinforcement Learning and training."
110 posts
#3
Training
: "🚀 Training Quadrupeds with Reinforcement Learning: From Zero to Hero! 🦾"
67 posts
#4
Ai
: "Easily Run and TrAin RL Models"
36 posts
#5
Learning
: "I built a AI to Play Dark Souls, through reinforcement Learning and training."
35 posts
#6
Deep Learning
: "Open-Source RAG Framework for Deep Learning Pipelines and large datasets – Faster Retrieval, Lower Latency, Smarter Integrations"
30 posts
#7
Model
: "What's the difference between Model-based and Model-free reinforcement learning?"
26 posts
#8
Help
20 posts
#9
Reward
: "This is what a "bad" Reward function looks like"
13 posts
#10
Implementation
: "Master Thesis Advice"
11 posts
Member Growth in r/reinforcementlearning
Yearly
+20k members(51.6%)
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