18 citations · 32 across the 9 of their papers we have counts for
14 papers
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine
Charul Giri, Ole-Christoffer Granmo, Herke van Hoof +1
Hex is a turn-based two-player connection game with a high branching factor, making the game arbitrarily complex with increasing board sizes. As such, top-performing algorithms for…
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment
Tessa van der Heiden, Herke van Hoof, Efstratios Gavves +1
We consider multi-agent reinforcement learning (MARL) for cooperative communication and coordination tasks. MARL agents can be brittle because they can overfit their training partn…
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation
Alexander Long, Alan Blair, Herke van Hoof
We present Nonparametric Approximation of Inter-Trace returns (NAIT), a Reinforcement Learning algorithm for discrete action, pixel-based environments that is both highly sample an…
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin, Maziar Gomrokchi, Harsh Satija +2
Exploration is an essential component of reinforcement learning algorithms, where agents need to learn how to predict and control unknown and often stochastic environments. Reinfor…
Combining Reward Information from Multiple Sources
Dmitrii Krasheninnikov, Rohin Shah, Herke van Hoof
Given two sources of evidence about a latent variable, one can combine the information from both by multiplying the likelihoods of each piece of evidence. However, when one or both…
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models
Qi Wang, Herke van Hoof
Reinforcement learning is a promising paradigm for solving sequential decision-making problems, but low data efficiency and weak generalization across tasks are bottlenecks in real…