Actor-critic algorithms
Vijay R. Konda low, John N. Tsitsiklis
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Citation edge evidence
- Policy Gradient Methods for Reinforcement Learning with Function Approximation→Actor-critic algorithmsLegacy edge — source detail unavailable
- Deep Reinforcement Learning: A Brief Survey→Actor-critic algorithmsLegacy edge — source detail unavailable
- Counterfactual Multi-Agent Policy Gradients→Actor-critic algorithmsLegacy edge — source detail unavailable
- Actor-critic algorithms→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Actor-critic algorithms→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
- Actor-critic algorithms→Policy Gradient Methods for Reinforcement Learning with Function ApproximationLegacy edge — source detail unavailable
- Policy Gradient Methods for Reinforcement Learning with Function Approximation→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
- Policy Gradient Methods for Reinforcement Learning with Function Approximation→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Counterfactual Multi-Agent Policy Gradients→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
- Counterfactual Multi-Agent Policy Gradients→Policy Gradient Methods for Reinforcement Learning with Function ApproximationLegacy edge — source detail unavailable
- Deep Reinforcement Learning: A Brief Survey→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
- Deep Reinforcement Learning: A Brief Survey→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Policy Gradient Methods for Reinforcement Learning with Function Approximation | 1999 | 4,966 |
| Deep Reinforcement Learning: A Brief Survey | 2017 | 4,434 |
| Counterfactual Multi-Agent Policy Gradients | 2018 | 1,727 |
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Topics
| Reinforcement Learning in Robotics | Computer Science |
| Advanced Control Systems Optimization | Engineering |
| Adaptive Dynamic Programming Control | Computer Science |
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