Is Reinforcement Learning Still a Viable Path to AGI?
This video is from Machine Learning with Phil. While I have come out in support of John Carmack as a dark horse candidate to implement the world’s first AGI, we can’t discount one of the OGs of reinforcement learning: Richard Sutton. In a recent paper he outlined the path to AGI, and in the paper […]
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AI Learns to Walk (deep reinforcement learning)
This video is from AI Warehouse. In this video an AI named Albert learns how to walk to escape 5 rooms I created. The AI was trained using Deep Reinforcement Learning, a method of Machine Learning which involves rewarding the agent for doing something correctly, and punishing it for doing anything incorrectly. Albert’s actions are […]
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Multi-Armed Bandits: A Cartoon Introduction – DCBA #1
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Frank
- March 28, 2023
- Adversarial Bandits
- AI Problem
- artificial intelligence
- Bandits
- Cartoon Introduction
- Chernoff-Hoeffding
- COG 2020
- Combinatorial Bandits
- Computer Science
- Contextual Bandits
- Continuous Bandits
- Dueling Bandits
- Epsilon Decreasing
- Epsilon First
- Epsilon Greedy
- Exploration Exploitation
- FDG 2020
- Horizon
- IEEE
- Kawale & Amat
- MAB
- Multi-Armed Bandits
- One-Armed Bandit
- Oracle
- Player Modeling
- Regression Oracle
- Slot Machine
- UCB
- UCB-1
- UCB1
Academic Gamer provides this introduction to Multi-Armed Bandits, an exciting field of AI research that aims to address the exploration/exploitation dilemma. We discuss the problem formulation, popular strategies for addressing it (epsilon-first, epsilon-greedy, and UCB1), and several of the variations on the MAB problem currently pursued in research.
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Multi-Armed Bandit : Data Science Concepts
This video from ritvikmath explores the Multi-Armed Bandit problem and Making decisions with limited information!
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Open Source Textbooks plus the Multi-Armed Bandit Reinforcement learning problem
Here’s a livestream remix of my AWS re:Invent talk, plus Andy shows up! No tags,
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An AI Learns to Play Starcraft 2 with Reinforcement Learning
Interesting video tinkering with reinforcement learning via Stable Baselines 3 and Starcraft 2. Code and model: https://github.com/Sentdex/SC2RL
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Deep Q-Network Solves Cart and Pole – Reinforcement Learning Code Project
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Frank
- March 28, 2022
- agent environment
- AI
- AlphaGo
- artificial intelligence
- artificial neural network
- Bellman equation
- CNN
- Deep Learning
- Deep Q-network
- DQN
- Education
- experience replay
- Machine Learning
- markov decision process
- MDP
- Neural Network
- OpenAI Five
- OpenAI Gym
- policy gradients
- policy network
- Python
- PyTorch
- Q-learning
- Q-value
- Reinforcement Learning
- replay memory
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tutorial
- Unsupervised Learning
In this episode, learn how to use a deep Q-network to solve the Cart and Pole environment.
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AI Learns Insane Monopoly Strategies
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Frank
- January 3, 2022
- AI
- awesome
- B2 AI
- b2studios
- b2studios ai
- b2studios board game ai
- b2studios monopoly
- best set monopoly
- board game ai
- bot learns monopoly
- brown set b2studios
- browns best set
- buy the browns
- Cool
- how to play monopoly
- monopoly
- monopoly ai
- monopoly bot
- monopoly bot learns
- monopoly brown set op
- monopoly gameplay
- monopoly NEAT
- monopoly neat AI
- monopoly strategy
- NEAT
- neuro evolution
- perfect monopoly
- play monopoly
- strategies
- YouTube
11.2 million games of self-play were used to discover the secrets of this classic game Download this AI: https://github.com/b2developer/MonopolyNEAT
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Can AI Learn to Cooperate?
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Frank
- April 9, 2021
- actor critic methods
- cooperative reinforcement learning
- ddpg
- deep deterministic policy gradients
- maddpg
- maddpg algorithm
- maddpg openai gym
- maddpg pytorch
- maddpg tutorial
- multi agent actor critic
- multi agent actor critic algorithm
- multi agent actor critic explained
- multi agent actor critic tutorial
- multi agent actor deep deterministic policy gradients
- multi agent deep deterministic policy gradients
- multi agent reinforcement learning
- policy gradients
Machine Learning with Phil covers Multi Agent Deep Deterministic Policy Gradients (MADDPG) in this video. Multi agent deep deterministic policy gradients is one of the first successful algorithms for multi agent artificial intelligence. Cooperation and competition among AI agents is going to be critical as applications of deep learning expand in our daily lives. In […]
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