The Weird and Wonderful World of AI Art
Explore the evolution of AI art, from early techniques to modern tools like CLIP and DALL-E. Discover the impact on artists, researchers, and amateurs, and ponder the future of this rapidly advancing field.
A Brief Introduction to Algorithms, Game Theory and Risk-Averse Decision Making
Explore algorithms, game theory, and risk-averse decision making, covering shortest paths, NP-Complete problems, equilibria, and various risk frameworks for real-world applications.
Learning Decentralized Policies in Multiagent Systems - How to Learn Efficiently
Explore decentralized policy learning in multiagent systems, focusing on scalable actor-critic methods, network structures, and performance characterization using stochastic game frameworks.
What Does Machine Learning Offer Game Theory - And Vice Versa
Explore the intersection of machine learning and game theory, focusing on simplifying complex scenarios and building cooperative AI agents for real-world applications.
V-Learning - Simple, Efficient, Decentralized Algorithm for Multiagent RL
Explore efficient decentralized algorithms for multiagent reinforcement learning, focusing on V-learning's ability to overcome challenges in joint action spaces and achieve Nash equilibria.
Understanding and Extending the Quasipolynomial Time Algorithms for Parity Games
Explore quasipolynomial algorithms for parity games, universal trees, and their extensions to universal graphs. Discover recent advancements in game-solving algorithms and complexity bounds.
Tropical Solutions to Hard Problems in Auction Theory and Neural Networks - Lecture II
Explore tropical mathematics and its applications in neural networks, auction theory, and more, focusing on key ideas of tropical objects as limits and their polyhedral geometry.
Tropical Solutions to Hard Problems in Auction Theory and Neural Networks - Lecture I
Explore tropical mathematics and its applications in neural networks, auction theory, and more. Learn about min-plus algebra, tropical objects, and polyhedral geometry to solve complex problems.
The Miner's Dilemma
Explores the game theory of cryptocurrency mining pools, analyzing strategies and equilibria when pools infiltrate each other, potentially leading to a tragedy of the commons scenario.
Advances in Risk-Aware Multi-Armed Bandit Problems - Lecture 3
Explore risk-aware multi-armed bandit problems with Vincent Tan. Learn advanced techniques for balancing exploration and exploitation in uncertain decision-making scenarios.
The Power of Self-Learning Systems
Explore cutting-edge AI breakthroughs and their implications for scientific discovery with DeepMind's CEO. Learn about self-learning systems, game-changing algorithms, and applications beyond gaming.
Demis Hassabis: Towards General Artificial Intelligence
Explore cutting-edge AI research with DeepMind's CEO, covering breakthroughs like AlphaGo and potential impacts on science and healthcare. Gain insights into AI's future and its implications for understanding human cognition.
Glimpsing Our AI Future - Howard Covington, The Alan Turing Institute
Explore AI's impact on industries, economies, and society with insights on technological advancements, global competition, and ethical considerations in this forward-looking talk.
Artificial Intelligence and Society - In Conversation With Jeff Sachs
Exploring AI's societal impact, Jeff Sachs discusses potential utopian and dystopian outcomes, emphasizing the importance of governance in shaping the future of technology and its effects on work, wealth, and privacy.
The Problem of Governance in Distributed Ledger Technologies - Professor Vili Lehdonvirta, OII
Explore governance challenges in distributed ledger technologies, examining economic organization, cooperation problems, and solutions through the lens of Bitcoin's development and debates.
Markov Decision Processes
Explore Markov Decision Processes, their components, and applications in inventory management. Learn about rewards, discounting, and Bellman's equation for optimal decision-making.
AI- From Algorithms to Ethics - ACM WomENcourage 2020
Explore AI agents designed for human interaction, combining machine learning, behavioral models, and game theory. Learn about applications in emergency triage and evaluation methodologies.
The Communication Complexity of Truthful vs Non-Truthful Combinatorial Auctions
Explore communication complexity in combinatorial auctions, comparing truthful and non-truthful mechanisms through theoretical analysis and proof techniques.
Multi-Agent Reinforcement Learning - Part II
Explore advanced concepts in multi-agent reinforcement learning, including equilibrium, rewards, and techniques like Q-value and no-regret learning. Gain insights into challenges and applications in AI and game theory.
The AI Economist- Improving Equality and Productivity with AI-Driven Tax Policies
Explore AI-driven tax policies for improved economic equality and productivity, featuring deep learning, reinforcement learning, and multi-agent simulations in a simplified economic model.
Multi-Agent Reinforcement Learning - Part I
Explore multi-agent reinforcement learning, covering game theory, interaction protocols, and Nash equilibrium. Gain insights into challenges and formulations in this emerging field.