A Reinforcement Learning Mechanism for Trading Wind Power Futures
Explore reinforcement learning for trading wind power futures, covering energy security, market setup, and machine learning models in this NYU seminar by Bruno Kamdem.
Learning About Learning: A Course on Neurobiology of Learning and Memory
Explore neurobiology of learning and memory, covering historical perspectives, associative learning, reinforcement models, and molecular mechanisms of memory formation and consolidation.
Learning to Navigate in Cities Without a Map
Explore reinforcement learning techniques for urban navigation without maps, focusing on value functions, courier tasks, and multi-site experiments.
Deep Reinforcement Learning for Object Tracking
Explore action-driven object tracking using deep reinforcement learning, covering policy, value functions, and training approaches for improved visual tracking performance.
CAP6412 - Final Project Presentations - Lecture 27
Final project presentations showcasing innovative approaches in video action recognition, offline reinforcement learning, and decision transformer encoders, with discussions on methodologies, results, and implications.
Learning to Navigate in Cities Without a Map
Explore reinforcement learning techniques for autonomous navigation in unmapped urban environments, focusing on value functions, courier tasks, and multi-site experiments.
Robot Learning with Minimal Human Feedback
Explore techniques for training robots with minimal human feedback, including reinforcement learning, language corrections, and leveraging pretrained vision-language models for direct supervision.
Reinforcement Learning-based Recommender Systems with Large Language Models - SIGIR 2024
Explore reinforcement learning-based recommender systems using LLMs for state reward and action modeling in this cutting-edge research presentation.
Machine Learning Tools: Skyline and RL-Scope for Performance Optimization
Explore Skyline and RL-Scope, two innovative tools for optimizing machine learning performance. Learn about interactive profiling, visualization, and debugging for PyTorch networks and cross-stack profiling for deep reinforcement learning.
Multi-armed Bandits in Production at Stitch Fix
Explore scaling challenges and solutions for multi-armed bandits in online experimentation, including a new method for efficient, deterministic Thompson sampling at Stitch Fix.
Learning to Reason with Large Language Models
Explore OpenAI's o1 model: an LLM trained via reinforcement learning for improved reasoning in math, programming, and science tasks.
WarpDrive: Orders of Magnitude Faster Multi-Agent Deep Reinforcement Learning on a GPU
Accelerate multi-agent deep reinforcement learning with WarpDrive, an open-source framework enabling end-to-end GPU execution. Explore features like automatic GPU tuning and distributed training for improved efficiency and scalability.
MLOps for Personalized Reinforcement Learning in Mobile Gaming - Rovio's Approach
Explore Rovio's MLOps infrastructure for personalized reinforcement learning in mobile gaming. Learn how to leverage cloud services for individualized player experiences without traditional A/B testing.
Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion - Lecture 1
Explore a novel reinforcement learning approach for detoxifying query auto-completion using quantized optimal transport rewards.
Exploring the Impact of Agentic Workflows - MLOps Podcast Episode 268
Dive into the world of AI agents in production with insights on deployment strategies, real-world applications, and practical advice for integrating AI into everyday systems while maintaining human oversight.
Robot Learning with Minimal Human Feedback
Explore innovative techniques for training robots with minimal human feedback, from single demonstrations to eye gaze, and learn about leveraging pretrained models for efficient robot learning.
ByteDance's Platform for Reinforcement Learning from Human Feedback
Explore ByteDance's journey in building a video data processing pipeline using Ray's ecosystem for creating realistic video generation models from text instructions.
Training AI for Space: Slingshot's Ray Journey - Ray Summit 2024
Explore Slingshot Aerospace's innovative approach to managing satellites using AI and Ray-based training pipelines. Discover their multi-layered RL Gym for simulating space missions and agent training.
On the Curses of Future and History in Off-policy Evaluation in Non-Markov Environments
Delve into off-policy evaluation in non-Markov environments, exploring coverage concepts, future-dependent value functions, and novel estimators for partially observable MDPs with polynomial sample complexity guarantees.
Reinforcement Learning in Artificial Intelligence - Full Course
Keeping the importance of Reinforcement Learning in mind, we have come up with this full course by Great Learning Faculty Dr. Narayana Darapaneni. Dr. Narayana holds a PhD in Mathematics from Pierre and Marie Curie University, Paris, France.
Machine Learning with Python - Tutorial for Beginners
Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.