12 citations · 14 across the 2 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2020★ 12 cited
Flatland-RL : Multi-Agent Reinforcement Learning on Trains
Sharada Mohanty, Erik Nygren, Florian Laurent +11
Efficient automated scheduling of trains remains a major challenge for modern railway systems. The underlying vehicle rescheduling problem (VRSP) has been a major focus of Operatio…
cs.AI2019
Meta-learnt priors slow down catastrophic forgetting in neural networks
Giacomo Spigler
Current training regimes for deep learning usually involve exposure to a single task / dataset at a time. Here we start from the observation that in this context the trained model…
cs.AI2018
The Temporal Singularity: time-accelerated simulated civilizations and their implications
Giacomo Spigler
Provided significant future progress in artificial intelligence and computing, it may ultimately be possible to create multiple Artificial General Intelligences (AGIs), and possibl…