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Why counting states still beats complex exploration in deep RL
OpenAI Blog · Jul 20, 2026 · 2 min read
For years, the consensus was clear: count-based exploration works beautifully in small, tabular settings but falls apar...
Topic: exploration
7 articles
Explore our coverage of exploration — 7 curated articles, summaries, and related resources from the Inblix archive.
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OpenAI's Q* Strikes Again: UCB Trick Supercharges Atari Scores
OpenAI Blog · Jul 20, 2026 · 2 min read
That mysterious Q* project just got a little less mysterious—and a lot more interesting for anyone who cares about maki...
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Meta-learning gets curious: E-MAML and E-RL² tackle exploration
OpenAI Blog · Jul 20, 2026 · 2 min read
The hardest problems in reinforcement learning aren't about mastering a known skill — they're about figuring out what t...
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OpenAI cracks Montezuma's Revenge with 74,500 score
OpenAI Blog · Jul 19, 2026 · 2 min read
OpenAI just posted a staggering 74,500 points on the notoriously difficult Atari game Montezuma's Revenge, beating any...
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Curiosity alone beats hand-crafted rewards in 54 games
OpenAI Blog · Jul 19, 2026 · 2 min read
Reinforcement learning has an obsession with rewards. For years, the playbook has been the same: carefully design a den...
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Curiosity finally cracks Montezuma's Revenge, a game that broke AI
OpenAI Blog · Jul 19, 2026 · 2 min read
There's a reason reinforcement learning researchers have been obsessed with a dusty 1984 Atari game. Montezuma's Reveng...
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POLO combines real-time planning with offline learning for fast robot skill acquisition
OpenAI Blog · Jul 19, 2026 · 2 min read
A new framework called POLO — plan online, learn offline — shows how simulated robots can master genuinely difficult ph...