Strategic Exploration via State Abstraction from Rich Observations - John Langford
Foundations of Real-World Reinforcement Learning
CSL seminar: Akshay Krishnamurthy
Latent State Recovery in Reinforcement Learning - John Langford
Clustering and generalization of abstract structures in reinforcement learning
Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast
Reinforcement Learning: Past, Present, and Future Perspectives | NeurIPS 2019
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Favorite Concept/Technique: Exploration in Markov Decision Processes
DeepMind x UCL RL Lecture Series - Introduction to Reinforcement Learning [1/13]
Teacher Algorithms for Deep Reinforcement Learning Students | JRC Workshop 2021
Is Planetary Defense Feasible - DE-STAR: A Planetary Defense and Exploration System - Lubin
Frontiers in Machine Learning: Machine Learning Conversations
Discovering an agent's controllable latent state
EI Seminar - Rob Fergus - Data Augmentation for Image-Based Reinforcement Learning
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
Accelerating exploration and representation learning with offline pre-training - ArXiv:2
Pre-stack Depth Imaging: Challenges in exploration-scale volcanic geobody model-building
Stefano V. Albrecht - From Deep Reinforcement Learning to LLM-based Agents
![DeepMind x UCL RL Lecture Series - Introduction to Reinforcement Learning [1/13]](https://img.youtube.com/vi/TCCjZe0y4Qc/0.jpg)
