Who Cited It

Policy Gradient Methods for Reinforcement Learning with Function Approximation

1999 · 4,966 citations · 11 from inside this corpus

Richard S. Sutton, David McAllester low, Satinder Singh, Yishay Mansour

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)Policy Gradient Methods for R…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Introduction to Reinforcement Learning (1998)Introduction to Reinforcement…Actor-critic algorithms (2002)Actor-critic algorithmsDeep learning in neural networks: An overview (2014)Deep learning in neural netwo…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Reinforcement learning in robotics: A survey (2013)Reinforcement learning in rob…Actor-critic algorithms (2002)Actor-critic algorithmsDueling Network Architectures for Deep Reinforcement Learning (2015)Dueling Network Architectures…High-Dimensional Continuous Control Using Generalized Advantage Estimation (2015)High-Dimensional Continuous C…Deterministic Policy Gradient Algorithms (2014)Deterministic Policy Gradient…Counterfactual Multi-Agent Policy Gradients (2018)Counterfactual Multi-Agent Po…Deep Reinforcement Learning That Matters (2018)Deep Reinforcement Learning T…Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates (2017)Deep reinforcement learning f…Hybrid computing using a neural network with dynamic external memory (2016)Hybrid computing using a neur…
15 of 15 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Reinforcement Learning: An Introduction200525,758
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Introduction to Reinforcement Learning19986,917
Actor-critic algorithms20021,818

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Mastering the game of Go with deep neural networks and tree search201616,014
Reinforcement learning in robotics: A survey20133,154
Actor-critic algorithms20021,818
Dueling Network Architectures for Deep Reinforcement Learning20151,811
High-Dimensional Continuous Control Using Generalized Advantage Estimation20151,746
Deterministic Policy Gradient Algorithms20141,736
Counterfactual Multi-Agent Policy Gradients20181,727
Deep Reinforcement Learning That Matters20181,580
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates20171,468
Hybrid computing using a neural network with dynamic external memory20161,448

Links

OpenAlex record

Topics

Reinforcement Learning in RoboticsComputer Science
Electric Vehicles and InfrastructureEngineering
Adaptive Dynamic Programming ControlComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports18 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…