Work · alternatives · 2026
24 alternatives to Beating the Optimal Stopping Rule with Game Specific Knowledge
Beating the Optimal Stopping Rule with Game Specific Knowledge is a research project that explores how domain-specific knowledge can improve decision-making beyond standard optimal stopping algorithms. Launched in… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Beating the Optimal Stopping Rule with Game Specific Knowledge launched in 2019; newer entries below may have overtaken it.
- 1
A 60-second game about LLM permission fatigue. Claude Code needs your approval — but are you really reading the commands?
May 2026 · llmgame.scalex.dev · its alternatives →
- 2
A terrible idea, now real. Contribute to xori/gamblers-dice development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 3
- 4
Googol Game or "You should learn when to quit". A JavaScript game. - victorqribeiro/googol
2019 · github.com · its alternatives →
- 5BP
Hi everyone! After spending hundreds of hours, we're excited to finally share our progress in developing a reinforcement learning system to beat Pokémon Red. Our system successfully completes the game using a policy under 10M parameters, PPO, and a few novel techniques. With the release of Claude Plays Pokémon, now feels like the perfect time to showcase our work. We'd love to get feedback!
2025 · drubinstein.github.io · its alternatives →
- 6
Thought I would post in celebration of 1 year of my website being online. I've been working on it on and off and currently the website allows users to play Hex, Tumbleweed, Amazons, and Connect 6 against friends or against practice bots. I've been a long time player of some of these games and I felt for a long time that the world could use a few more popular abstract strategy games compared to Chess or Go. If you try it, let me know what you think. I'm always looking for new games or new features to add :)
2025 · abstractboardgames.com · its alternatives →
- 7
A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com · its alternatives →
- 8
Practically a unified-field theory of human relationships
2015 · amazon.com · its alternatives →
- 9
Nobel Prize winner's analysis of game theory and conflict
2016 · amazon.com · its alternatives →
- 10
The basic handbook of transactional analysis
2016 · amazon.com · its alternatives →
- 11
The Computer Science of Human Decisions
2016 · amazon.com · its alternatives →
- 12
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A Guide to Better Problem Solving
2015 · amazon.com · its alternatives →
- 14
Magnifying faults to improve efficacy as a game publisher
2016 · happymittengames.com · its alternatives →
- 15
Hi HN, Sharing my poker preflop trainer product, a subset of my Live Poker Theory project. https://www.livepokertheory.com/trainer Live Poker Theory helps translate complex poker solver strategy to actionable strategies while playing and aims to make studying poker more efficient and more fun. While I usually try to focus on sharing it in poker communities, I saw a few poker articles frontpage this site so I figure it doesn't hurt to share it here. In case you don't know, before 2015 most poker software could only calculate "all-in equity" - if there was no game tree and…
2024 · livepokertheory.com · its alternatives →
- 16
We’ve been building visual rule engines (clear spreadsheet interfaces -> API endpoints that map incoming data to a large number of potential outcomes), and had the fun idea lately to see what happens when we use our decision table UI with Claude’s PreToolUse hook. The result is a surprisingly useful policy/gating layer– these tables let your team: - Write conditional, exception-friendly policies beyond globs/prefixes (e.g. allow rm -rf only in */node_modules/*, deny / or $HOME, ask if --force or network call; gate kubectl delete / SQL DROP with a clear reason) -…
Jan 2026 · github.com · its alternatives →
- 17
We wanted to test if a smaller model like GPT-4.1-mini could beat its bigger brother 4.1 at the game Tic-Tac-Toe using only context engineering. We put them in a 100-game tournament. For the smaller model, we gave it a few examples of winning moves from past games right before it made its own move. The results were clear. Without the examples, the smaller model struggled against GPT-4.1. With the examples, its effectiveness increased by nearly 200%, and it consistently won. It's a simple demonstration, but it shows that a smaller, faster model with good, timely examples can outperform a more…
2025 · github.com · its alternatives →
- 18AH
This paper formally defines where current AGI hits a structural wall — not a technical one. It shows that no amount of scaling, reinforcement learning, or recursive optimization will break through three deep epistemological and formal constraints: 1. Semantic Closure — An AI system cannot generate outputs that require meaning beyond its internal frame. 2. Non-Computability of Frame Innovation — New cognitive structures cannot be computed from within an existing one. 3. Statistical Breakdown in Open Worlds — Probabilistic inference collapses in environments with heavy-tailed uncertainty.…
2025 · its alternatives →
- 19
Hey HN, We explored how decision-making happens under severe information asymmetry and used career exploration as a test subject. In practice, people converge on a small set of highly legible default paths, with little visibility into credible alternatives. That’s why we’re building Fig, a tool for reasoning about career paths when the next step isn’t obvious, given the dependence on fleeting personal preferences. Most existing tools respond by collapsing uncertainty into a single recommendation or by modeling careers as linear trajectories. That works reasonably well at the recruiting…
Jan 2026 · figcareer.com · its alternatives →
- 20IT
I built 1e4.ai - a chess web app where you play against neural networks trained to mimic human Lichess players at specific Elo ranges. There's a separate model for each 100-point rating bucket from ~800 to 2200+, and the bots not only choose human-like moves but also burn clock time, play worse under time pressure, and blunder in human-like ways. Live demo: https://1e4.ai Code: https://github.com/thomasj02/1e4_ai A few things that might be interesting: - Trained on almost a full year of Lichess blitz games, around 1B total games - Architecture is an a small…
May 2026 · its alternatives →
- 21
Monopoly▲11The Fast-Dealing Property Trading Game
2015 · consumercare.hasbro.com · its alternatives →
- 22
Change management, SkillOpt optimization, and evidence-gated evals for agent skills. - SlanchaAI/ingot
Jul 2026 · github.com · its alternatives →
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2023 · one-dead.web.app · its alternatives →
- 24
1v1 code battles. Same challenge. AI picks the winner.
2025 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →