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 3361–3370 of 15113 papers

Title	Date	Tasks	Status	Hype
Deterministic policy gradient based optimal control with probabilistic constraints	May 25, 2023	Model Predictive Controlreinforcement-learning	—Unverified	0
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning	May 25, 2023	Computational Efficiencyreinforcement-learning	CodeCode Available	1
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees	May 24, 2023	Reinforcement Learning (RL)	CodeCode Available	0
SPRING: Studying the Paper and Reasoning to Play Games	May 24, 2023	Language ModellingLarge Language Model	CodeCode Available	1
Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness	May 24, 2023	Reinforcement Learning (RL)Safe Reinforcement Learning	—Unverified	0
Deep Reinforcement Learning with Plasticity Injection	May 24, 2023	Computational EfficiencyDeep Reinforcement Learning	—Unverified	0
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure	May 24, 2023	Matrix Completionreinforcement-learning	—Unverified	0
A Mini Review on the utilization of Reinforcement Learning with OPC UA	May 24, 2023	Decision Makingreinforcement-learning	—Unverified	0
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning	May 24, 2023	Offline RLReinforcement Learning (RL)	CodeCode Available	1
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning	May 23, 2023	continuous-controlContinuous Control	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