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 2026–2050 of 15113 papers

Title	Date	Tasks	Status	Hype
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search	Dec 30, 2022	Reinforcement Learning (RL)	CodeCode Available	1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks	Jun 14, 2020	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
An Attentive Graph Agent for Topology-Adaptive Cyber Defence	Jan 24, 2025	Graph AttentionGraph Neural Network	CodeCode Available	1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS	Oct 26, 2019	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning	Jul 2, 2021	BenchmarkingCausal Discovery	CodeCode Available	1
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning	Oct 10, 2022	Data Augmentationreinforcement-learning	CodeCode Available	1
CDT: Cascading Decision Trees for Explainable Reinforcement Learning	Nov 15, 2020	Deep Reinforcement LearningExplainable Models	CodeCode Available	1
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking	Dec 10, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges	May 28, 2022	Continual LearningContinuous Control	CodeCode Available	1
Adaptive Transformers in RL	Apr 8, 2020	Partially Observable Reinforcement Learningreinforcement-learning	CodeCode Available	1
Behavior From the Void: Unsupervised Active Pre-Training	Mar 8, 2021	Atari GamesReinforcement Learning (RL)	CodeCode Available	1
CommonPower: A Framework for Safe Data-Driven Smart Grid Control	Jun 5, 2024	Benchmarkingenergy management	CodeCode Available	1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings	Nov 25, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation	Jul 13, 2021	Reinforcement Learning (RL)Spatial Reasoning	CodeCode Available	1
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering	Oct 25, 2022	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1
Behavior Proximal Policy Optimization	Feb 22, 2023	D4RLOffline RL	CodeCode Available	1
TEMPERA: Test-Time Prompting via Reinforcement Learning	Nov 21, 2022	Few-Shot LearningNatural Language Inference	CodeCode Available	1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images	Aug 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning	Mar 8, 2021	CPUreinforcement-learning	CodeCode Available	1
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines	Oct 8, 2020	Common Sense ReasoningCommonsense Reasoning for RL	CodeCode Available	1
Text Generation by Learning from Demonstrations	Sep 16, 2020	Machine TranslationQuestion Generation	CodeCode Available	1
Concise Reasoning via Reinforcement Learning	Apr 7, 2025	reinforcement-learningReinforcement Learning	CodeCode Available	1
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization	Jul 11, 2020	Bayesian OptimizationData Augmentation	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem	Dec 8, 2020	Combinatorial OptimizationQ-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