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 2011–2020 of 15113 papers

Title	Date	Tasks	Status	Hype
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning	Mar 17, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning	Mar 16, 2020	Atari GamesDecision Making	CodeCode Available	1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction	Mar 16, 2020	Deep Reinforcement LearningMeta-Learning	CodeCode Available	1
PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network	Mar 16, 2020	continuous-controlContinuous Control	CodeCode Available	1
Deep Deterministic Portfolio Optimization	Mar 13, 2020	Deep Reinforcement LearningPortfolio Optimization	CodeCode Available	1
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft	Mar 12, 2020	Deep Reinforcement LearningMinecraft	CodeCode Available	1
On the Robustness of Cooperative Multi-Agent Reinforcement Learning	Mar 8, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control	Mar 6, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Robust Market Making via Adversarial Reinforcement Learning	Mar 3, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning	Mar 3, 2020	Deep Reinforcement Learningreinforcement-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