Deep Reinforcement Learning Techniques

This cluster encapsulates approaches that blend deep learning with reinforcement learning frameworks. It emphasizes methods for training agents to achieve optimal behavior through interactions with dynamic environments.

deep reinforcement learning
Q-learning
agent training
optimal behavior
dynamic environments

51,844 papers

Parent topic: Manifold-based Learning Techniques

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Papers Over Time

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Top Papers

Human-level Control Through Deep Reinforcement Learning

2015 · 17,764 citations

Q-learning

1992 · 7,451 citations

Reinforcement Learning: An Introduction

1998 · 7,450 citations

Reinforcement Learning: A Survey

1996 · 4,903 citations

“Neural” Computation Of Decisions In Optimization Problems

1985 · 4,144 citations

Predictive Reward Signal Of Dopamine Neurons

1998 · 3,713 citations

Simple Statistical Gradient-Following Algorithms For Connectionist Reinforcement Learning

1992 · 3,220 citations

Deep Reinforcement Learning With Double Q-Learning

2016 · 3,124 citations

Deep Reinforcement Learning: A Brief Survey

2017 · 2,771 citations

A Survey Of Iterative Learning Control

2006 · 2,338 citations

Learning Realistic Human Actions From Movies

2008 · 2,334 citations

Planning And Acting In Partially Observable Stochastic Domains

1998 · 2,214 citations

Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems

1983 · 2,047 citations

A General Reinforcement Learning Algorithm That Masters Chess, Shogi, And Go Through Self-Play

2018 · 1,993 citations

Adaptive Representation Of Dynamics During Learning Of A Motor Task

1994 · 1,955 citations

Reinforcement Learning In Robotics: A Survey

2013 · 1,916 citations

Grandmaster Level In StarCraft II Using Multi-Agent Reinforcement Learning

2019 · 1,880 citations

Discrete Coding Of Reward Probability And Uncertainty By Dopamine Neurons

2003 · 1,706 citations

Between MDPs And semi-MDPs: A Framework For Temporal Abstraction In Reinforcement Learning

1999 · 1,620 citations

Apprenticeship Learning Via Inverse Reinforcement Learning

2004 · 1,491 citations