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 1171–1180 of 15113 papers

Title	Date	Tasks	Status	Hype
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet	May 12, 2021	MuJoCoMulti-Goal Reinforcement Learning	CodeCode Available	1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions	Jan 10, 2021	Autonomous NavigationContrastive Learning	CodeCode Available	1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning	Dec 1, 2021	Domain AdaptationMuJoCo	CodeCode Available	1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer	Nov 5, 2021	Computed Tomography (CT)Diagnostic	CodeCode Available	1
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality	Feb 14, 2020	Inductive BiasMetric Learning	CodeCode Available	1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations	Sep 17, 2020	Evolutionary AlgorithmsReinforcement Learning (RL)	CodeCode Available	1
An Optimistic Perspective on Offline Deep Reinforcement Learning	Jan 1, 2020	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL	May 26, 2025	Reinforcement Learning (RL)Specificity	CodeCode Available	1
Curious Hierarchical Actor-Critic Reinforcement Learning	May 7, 2020	BenchmarkingHierarchical Reinforcement Learning	CodeCode Available	1
Compiler Optimization for Quantum Computing Using Reinforcement Learning	Dec 8, 2022	Compiler Optimizationreinforcement-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