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 1791–1800 of 15113 papers

Title	Date	Tasks	Status	Hype
Collision Probability Distribution Estimation via Temporal Difference Learning	Jul 29, 2024	AI AgentAutonomous Driving	CodeCode Available	1
Prolog Technology Reinforcement Learning Prover	Apr 15, 2020	Automated Theorem Provingreinforcement-learning	CodeCode Available	1
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning	Feb 13, 2023	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning	May 25, 2023	Computational Efficiencyreinforcement-learning	CodeCode Available	1
Provable Safe Reinforcement Learning with Binary Feedback	Oct 26, 2022	Active Learningreinforcement-learning	CodeCode Available	1
Provably Good Batch Reinforcement Learning Without Great Exploration	Jul 16, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity	Jun 6, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Pseudo Random Number Generation: a Reinforcement Learning approach	Dec 15, 2019	BIG-bench Machine Learningreinforcement-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
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning	Jul 11, 2019	Natural Language Understandingreinforcement-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