arXiv AI
AI Learning and Conceptual Transfer in the Game of Hidden Rules
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arXiv Machine Learning
Jul 30
Interpretable GOHR Agents via Sparse Autoencoders
arXiv:2607. 25132v2 Announce Type: replace Abstract: A central challenge in interpreting learned decision-making systems is to determine whether their internal representations contain concepts that help explain their behavior.
OpenAI Blog
Aug 11, 2017
Dota 2
We’ve created a bot which beats the world’s top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search.
OpenAI Blog
Aug 3, 2017
Gathering human feedback
RL-Teacher is an open-source implementation of our interface to train AIs via occasional human feedback rather than hand-crafted reward functions. The underlying technique was developed as a step towards safe AI systems, but also applies to reinforcement learning problems with rewards that are hard to specify.
arXiv AI
Jun 3
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
arXiv:2510. 23216v4 Announce Type: replace Abstract: While several high profile video games have served as testbeds for Deep Reinforcement Learning (DRL), this technique has rarely been employed by the game industry for crafting authentic AI behaviors.
MIT News AI
3d ago
This game-playing AI is the new champ at Stratego
A new AI system has become the champion at the board game Stratego, outperforming top-ranked human players. It is more efficient than other models, and its success demonstrates advanced strategic planning capabilities. The system’s performance suggests potential applications for decision-making in military maneuvers and business negotiations.
arXiv AI
3d ago
Game-Guided Skill Discovery through Self-Play for Playable Agent Control
arXiv:2609.40137v1 Announce Type: cross Abstract: We present Game-Guided Skill Discovery (GGSD), a framework that uses self-play in games to discover motor skills that are directly playable by humans...