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Aug 14th 2020
News
Recommended Reading: How computers beat us at our own games
Popular Science recently shone a light on game-playing AI, as well as Amii researchers' contributions, in their article "How computers beat us at our own games".
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Jul 13th 2020
News
Amii at ICML 2020: 17 Papers Accepted at Premier ML Conference
Amii is proud to feature the work of our researchers at the 37th International Conference on Machine Learning (ICML).
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Jul 13th 2020
Research Post
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
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Jun 10th 2020
Research Post
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
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Jun 8th 2020
Research Post
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models
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May 8th 2020
News
Amii at AAMAS 2020: Accepted Papers
Amii is proud to feature the work of our researchers at the 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS).
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May 1st 2020
Research Post
Useful Policy Invariant Shaping from Arbitrary Advice
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Apr 28th 2020
Research Post
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
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Apr 20th 2020
Research Post
Approximate exploitability: Learning a best response in large games
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Mar 2nd 2020
Research Post
Sound Search in Imperfect Information Games
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Mar 1st 2020
Research Post
The hanabi challenge: A new frontier for ai research
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Jul 19th 2019
Research Post
Variance reduction in monte carlo counterfactual regret minimization (VR-MCCFR) for extensive form games using baselines
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Jan 1st 2018
Research Post
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
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Feb 21st 2017
Research Post
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
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Dec 1st 2014
Research Post
Heads-up limit hold’em poker is solved
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Jun 14th 2013
Research Post
The arcade learning environment: An evaluation platform for general agents
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