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05/25/2021
From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
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10/20/2020
Negotiating Team Formation Using Deep Reinforcement Learning
When autonomous agents interact in the same environment, they must often...
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07/17/2020
Discovering Reinforcement Learning Algorithms
Reinforcement learning (RL) algorithms update an agent's parameters acco...
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06/26/2020
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
We introduce a new recurrent agent architecture and associated auxiliary...
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05/04/2020
Navigating the Landscape of Multiplayer Games to Probe the Drosophila of AI
Multiplayer games have a long history in being used as key testbeds for ...
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05/03/2019
Information asymmetry in KL-regularized RL
Many real world tasks exhibit rich structure that is repeated across dif...
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03/04/2019
α-Rank: Multi-Agent Evaluation by Evolution
We introduce α-Rank, a principled evolutionary dynamics methodology, for...
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01/23/2019
Open-ended Learning in Symmetric Zero-sum Games
Zero-sum games such as chess and poker are, abstractly, functions that e...
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12/05/2018
Adapting Auxiliary Losses Using Gradient Similarity
One approach to deal with the statistical inefficiency of neural network...
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11/14/2018
Evolving intrinsic motivations for altruistic behavior
Multi-agent cooperation is an important feature of the natural world. Ma...
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07/03/2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Recent progress in artificial intelligence through reinforcement learnin...
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05/16/2018