Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1471–1480 of 15113 papers

Title	Date	Tasks	Status	Hype
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots	Mar 23, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection	Aug 13, 2024	Deep Reinforcement LearningObject	CodeCode Available	1
Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning	May 11, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach	Nov 14, 2021	Algorithmic TradingGeneral Reinforcement Learning	CodeCode Available	1
Combinatorial Optimization with Policy Adaptation using Latent Space Search	Nov 13, 2023	BenchmarkingCombinatorial Optimization	CodeCode Available	1
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning	Oct 5, 2020	Reading Comprehensionreinforcement-learning	CodeCode Available	1
Combining Modular Skills in Multitask Learning	Feb 28, 2022	Instruction Followingreinforcement-learning	CodeCode Available	1
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning	May 24, 2023	Offline RLReinforcement Learning (RL)	CodeCode Available	1
A Deep Reinforced Model for Abstractive Summarization	May 11, 2017	Abstractive Text SummarizationDecoder	CodeCode Available	1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values	Oct 4, 2021	Decision MakingDeep Reinforcement Learning	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified