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 1271–1280 of 15113 papers

Title	Date	Tasks	Status	Hype
Compositional Reinforcement Learning from Logical Specifications	Jun 25, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning	Feb 8, 2022	Diversityreinforcement-learning	CodeCode Available	1
Doubly Mild Generalization for Offline Reinforcement Learning	Nov 12, 2024	MuJoCoOffline RL	CodeCode Available	1
Constrained Update Projection Approach to Safe Policy Optimization	Sep 15, 2022	Reinforcement Learning (RL)Safe Reinforcement Learning	CodeCode Available	1
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning	Oct 1, 2019	continuous-controlContinuous Control	CodeCode Available	1
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient	Oct 11, 2024	MambaModel-based Reinforcement Learning	CodeCode Available	1
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning	Jun 18, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning	Jul 11, 2025	MathMathematical Reasoning	CodeCode Available	1
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms	Nov 30, 2023	BenchmarkingOpenAI Gym	CodeCode Available	1
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging	Nov 17, 2020	Autonomous DrivingModel Predictive 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