Spain

ECAI 2020

Learning to continually learn

catastrophic forgetting; neural networks; computer vision

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). The aim of the joint conference is to provide a single, high-profile, internationally-respected archival forum for scientific research in the theory and practice of autonomous agents and multi-agent systems.

Browse keynotes, discussions, panels and over 300 presentations.


AAMAS 2020

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). 

technical paper

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.

Behavior based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection

From Public Announcements to Asynchronous Announcements

Quantitative Stream Reasoning with Weighted LARS

Algorithms for Dynamic Argumentation Frameworks: An Incremental SAT-Based Approach

An Advance on Variable Elimination with Applications to Tensor-Based Computation

Data-Empowered Argumentation (DEAr) for  Dialectically Explainable Predictions

Modelling Belief-Revision Functions at Extended Languages

Randomized Kernel Multi-view Discriminant Analysis

Refinement of Unsupervised Cross-Lingual Word Embeddings

Regret-Based Elicitation for Solving Multi-Objective Knapsack Problems with Rank-Dependent Aggregators

https://d3smihljt9218e.cloudfront.net/transcript/1233/subtitle/b0206e6ca9baf7ecb665fbbf23bf7e7a.vtt

English (automatic)

Learning to continually learn

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Behavior based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection

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Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients

Learning to continually learn

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Next from ECAI 2020

Behavior based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection

Similar lecture

Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients

Downloads