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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

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Showing 501–510 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
A Workflow for Offline Model-Free Robotic Reinforcement Learning	Sep 22, 2021	Offline RLreinforcement-learning	CodeCode Available	1	5
Deep Reinforcement Learning for Entity Alignment	Mar 7, 2022	Decision MakingDeep Reinforcement Learning	CodeCode Available	1	5
A Boolean Task Algebra for Reinforcement Learning	Jan 6, 2020	Lifelong learningNegation	CodeCode Available	1	5
Zero-Shot Compositional Policy Learning via Language Grounding	Apr 15, 2020	DescriptiveDomain Adaptation	CodeCode Available	1	5
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning	Mar 16, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model	Jul 20, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning	Oct 10, 2022	Data Augmentationreinforcement-learning	CodeCode Available	1	5
Adaptive Transformers in RL	Apr 8, 2020	Partially Observable Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Asset Allocation: From Markowitz to Deep Reinforcement Learning	Jul 14, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning	Dec 4, 2019	DecoderMulti-agent Reinforcement Learning	CodeCode Available	1	5

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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