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 1121–1130 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem	Jun 30, 2017	Deep Reinforcement LearningManagement	CodeCode Available	1	5
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation	Nov 20, 2022	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning	Jan 15, 2019	Deep Reinforcement LearningHigh-Level Synthesis	CodeCode Available	1	5
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning	Mar 2, 2020	Deep Reinforcement LearningHigh-Level Synthesis	CodeCode Available	1	5
BIMRL: Brain Inspired Meta Reinforcement Learning	Oct 29, 2022	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Autonomous Reinforcement Learning: Formalism and Benchmarking	Dec 17, 2021	Benchmarkingreinforcement-learning	CodeCode Available	1	5
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning	Sep 21, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization	Oct 2, 2020	Meta Reinforcement LearningMetric Learning	CodeCode Available	1	5
Efficient Pressure: Improving efficiency for signalized intersections	Dec 4, 2021	Reinforcement Learning (RL)Traffic Signal Control	CodeCode Available	1	5
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization	May 19, 2021	Reinforcement Learning (RL)	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