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Reinforcement Learning
Thought this belonged here. It looks like the one in OpenAI's Gym library environment
Strategy to efficiently debug and do reward shaping for Reinforcement Learning
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At the Top Level A Lot of Racing Games is Just Robotic Semi-Repetition (Human Reinforcement Learning Agents)
Drone Swarms Learning Melee and Ranged Battle Tactics via Self-Play
Relative vs absolute actions, MeanStd normalization, L2 vs L1: the ablations in the new LingBot-VLA 2.0 paper are a tidy VLA training cheat sheet
I trained a vision-language model to play Snake, and so can you.
What makes a simulation model suitable for model-free RL with zero-shot sim-to-real transfer?
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Junior independent researcher in the field of artificial intelligence
/u/Impressiv
·
2026-07-08
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via
Reinforcement Learning
submitted by /u/Impressive-Dot1317 [link] [留言]
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