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r/reinforcementlearning

43,192 subscribers
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.

Notice: This subreddit is not actively monitored, so the posts here are only a small subset of what exists on reddit.

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to r/reinforcementlearning by BagComprehensive79
2 weeks ago
Critic Network is failling to predict rewards
to r/reinforcementlearning by BagComprehensive79
2 weeks ago
Actor Critic Model taking same action for all inputs
to r/reinforcementlearning by BeezyPineapple
6 months ago
Need help with petting zoo and multiple agents of the same type in a custom environment
to r/reinforcementlearning by Dense-Positive6651
6 months ago
Announcing AI Olympics: A Robotics Challenge at IJCAI 2023 - Join Now!
to r/reinforcementlearning by AIinPowerEnthusiast
3 months ago
RL Reward formulation best practices?
to r/reinforcementlearning by AIinPowerEnthusiast
3 months ago
Reinforcement Learning for infinite time problem
to r/reinforcementlearning by jekotia
1 year ago
New to machine learning, want to simulate robotics in a 3d environment
to r/reinforcementlearning by trolltest123
10 months ago
RL for Pokemon (specifically "subgame solving")
to r/reinforcementlearning by massagre
1 year ago
Forgetting in function approximation
to r/reinforcementlearning by massagre
1 year ago
Environments has huge state spaces with known transition dynamics
to r/reinforcementlearning by caleb_dre
6 months ago
Preview thumbnail for Poke-Agent: Pokemon Battling & Reinforcement Learning image
Poke-Agent: Pokemon Battling & Reinforcement Learning