Spain

ECAI 2020

Extended Markov Games to Learn Complex Specifications in Multi-Agent Reinforcement Learning

formal methods

reinforcement learning

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

technical paper

Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search

Conference Presentation Recording for ECAI2020 paper 'Adaptive Graph Reasoning Network for Fashion Landmark Detection'

Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks

Crowd Counting via Hierarchical Scale Recalibration Network

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders

Adaptive Local Neighbors for Transfer Discriminative Feature Learning

Analysing Irresolute Multiwinner Voting Rules via SAT solving

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners

Learning Deterministic Automata on Infinite Words

Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning

https://d3smihljt9218e.cloudfront.net/transcript/985/subtitle/bbf520dac478c7045c42f2827c8f4dd5.vtt

English (automatic)

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Next from ECAI 2020

Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search

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Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning

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Next from ECAI 2020

Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search

Similar lecture

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning

Downloads