Who Cited It

Soft Actor-Critic Algorithms and Applications

2018 · arXiv (Cornell University) · 1,994 citations · 1 from inside this corpus

Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen low, George Tucker low, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu low, Abhishek Gupta, Pieter Abbeel, Sergey Levine

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.

Soft Actor-Critic Algorithms and Applications (2018)Soft Actor-Critic Algorithms …[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short … (2017)Diagnosing Non-Intermittent A…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Continuous control with deep reinforcement learning (2015)Continuous control with deep …Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…Addressing Function Approximation Error in Actor-Critic Methods (2018)Addressing Function Approxima…Maximum Entropy Inverse Reinforcement Learning (2018)Maximum Entropy Inverse Reinf…Deterministic Policy Gradient Algorithms (2014)Deterministic Policy Gradient…End-to-end training of deep visuomotor policies (2016)End-to-end training of deep v…Deep Reinforcement Learning That Matters (2018)Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates (2017)Deep reinforcement learning f…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …
14 of 14 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.
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What this paper cites, inside the corpus

PaperYearCited
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Mastering the game of Go with deep neural networks and tree search201616,014
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …201711,354
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Continuous control with deep reinforcement learning20155,370
Playing Atari with Deep Reinforcement Learning20135,104
Trust Region Policy Optimization20153,129
Addressing Function Approximation Error in Actor-Critic Methods20182,372
Maximum Entropy Inverse Reinforcement Learning20182,055
Deterministic Policy Gradient Algorithms20141,736
End-to-end training of deep visuomotor policies20161,706
Deep Reinforcement Learning That Matters20181,580
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates20171,468

What cites it, inside the corpus

PaperYearCited
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444

Links

DOI · Open access copy · OpenAlex record

Topics

Reinforcement Learning in RoboticsComputer Science
Artificial Intelligence in GamesComputer Science
Evolutionary Algorithms and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports11 author record(s) attached.
  • supports44 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 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…