Eindhoven Reinforcement Learning Seminar

Hugo Scurto "Reinforcement Learning for Art"

Mark Tensen "Sculpting with Reinforcement Learning"

Sasha Vezhnevets "OPtions as REsponses"

Towards Interpretable Deep Reinforcement Learning

An Inherently Interpretable Reward Free HRL Model for Discrete Environments

Deceptive Diversity of Modern RL methods

Ben Eysenbach "Diversity is All you Need"

Vadim Liventsev "Multi-task and Transfer Reinforcement Learning"

Vadim Liventsev "Distributed computing with HOGWILD!"

Max Ryabinin "Learning@Home"

Nathanaël Fijalkow "Distribution-based search for programming by example"

Vadim Liventsev "Deep Genetic Programming to Improve Clinical Protocols"

Zeyu Sun "TreeGen: A Tree-Based Transformer Architecture for Code Generation"

Błażej Osiński "Data-Driven Driving"

‪Błażej Osiński "Model-based Reinforcement Learning for Atari"

Wouter Kool "Attention, Learn to Solve Routing Problems!"

Reza Nazari "Reinforcement Learning for Solving the Vehicle Routing Problem"

Elias B. Khalil "Learning Combinatorial Optimization Algorithms over Graphs"