Reinforcement Learning

Reinforcement learning promises to teach computers to learn from their environments just like we do. As a result, many believe that RL is one of the more likely paths to achieving AGI, but it’s a very difficult problem. We spoke to quite a few researchers trying to solve these interesting problems,

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Controlling Fusion Reactor Instability with Deep Reinforcement Learning

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Teaching Large Language Models to Reason with Reinforcement Learning

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AI Trends 2024: Reinforcement Learning in the Age of LLMs

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Inverse Reinforcement Learning Without RL

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AI Trends 2023: Reinforcement Learning – RLHF, Robotic Pre-Training, and Offline RL

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Reinforcement Learning for Personalization at Spotify

Cover Image: Kamyar Azizzadenesheli - Podcast Interview

AI Rewind 2021: Trends in Reinforcement Learning

Cover Image: Doina Precup - Podcast Interview

Hierarchical and Continual RL

Cover Image: Rishabh Agarwal - Podcast Interview

Deep Reinforcement Learning at the Edge of the Statistical Precipice

Cover Image: Tim Rocktäschel - Podcast Interview

Advancing Deep Reinforcement Learning with NetHack

Cover Image: Konrad Tollmar - Podcast Interview

Deep Reinforcement Learning for Game Testing at EA

Cover Image: Pieter Abbeel - Podcast Interview

Reinforcement Learning for Industrial AI

Cover Image: Jason Gauci - Podcast Interview

Off-Line, Off-Policy RL for Real-World Decision Making at Facebook

Cover Image: Pablo Samuel Castro - Podcast Interview

AI Rewind 2020: Trends in Reinforcement Learning

Cover Image: Aravind Rajeswaran - Podcast Interview

MOReL: Model-Based Offline Reinforcement Learning

Cover Image: Wilka Carvalho - Podcast Interview

Relational, Object-Centric Agents for Completing Simulated Household Tasks

Cover Image: Karim Beguir - Podcast Interview

Automating Electronic Circuit Design with Deep RL

Cover Image: Jürgen Schmidhuber - Podcast Interview

Upside Down Reinforcement Learning

Cover Image: Sergey Levine - Podcast Interview

Advancements in Reinforcement Learning

Cover Image: Pablo Samuel Castro - Podcast Interview

Music & AI Plus A Geometric Perspective on Reinforcement Learning

Cover Image: Chelsea Finn - Podcast Interview

AI Rewind 2019: Trends in Reinforcement Learning

Cover Image: Blake Richards - Podcast Interview

Sensory Prediction Error Signals in the Neocortex

Cover Image: Karim Beguir - Podcast Interview

Deep Reinforcement Learning for Logistics at Instadeep

Cover Image: Olivier Bachem - Podcast Interview

Disentangled Representations & Google Research Football

Cover Image: Sicelukwanda Zwane - Podcast Interview

Safer Exploration in Deep Reinforcement Learning using Action Priors

Cover Image: Simon Osindero - Podcast Interview

AI Rewind 2018: Trends in Reinforcement Learning

Cover Image: Vukosi Marivate - Podcast Interview

Advanced Reinforcement Learning & Data Science for Social Impact

Cover Image: Kamyar Azizzadenesheli - Podcast Interview

Deep Reinforcement Learning Primer and Research Frontiers

Cover Image: Sandy Huang, Ian Goodfellow - Podcast Interview

Adversarial Attacks Against Reinforcement Learning Agents

Cover Image: Ion Stoica - Podcast Interview

Ray: A Distributed Computing Platform for Reinforcement Learning

Cover Image: Chelsea Finn - Podcast Interview

Robotic Perception and Control

Cover Image: Pieter Abbeel - Podcast Interview

Reinforcement Learning Deep Dive

Cover Image: Ilia Baranov - Podcast Interview

Intelligent Autonomous Robots

Cover Image: Danny Lange - Podcast Interview

Reinforcement Learning: The Next Frontier of Gaming

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