SOTAVerified

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

Showing 14761500 of 15113 papers

TitleStatusHype
Interactive Machine Learning of Musical GestureCode1
Interferobot: aligning an optical interferometer by a reinforcement learning agentCode1
Learning to combine primitive skills: A step towards versatile robotic manipulationCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
A Text-based Deep Reinforcement Learning Framework for Interactive RecommendationCode1
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing ProblemsCode1
Intrinsic Reward Driven Imitation Learning via Generative ModelCode1
A General Contextualized Rewriting Framework for Text SummarizationCode1
Inverse Constrained Reinforcement LearningCode1
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningCode1
Investigating practical linear temporal difference learningCode1
Combining Modular Skills in Multitask LearningCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity RewardsCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Aspect Sentiment Triplet Extraction Using Reinforcement LearningCode1
JoinGym: An Efficient Query Optimization Environment for Reinforcement LearningCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning StudyCode1
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task EnvironmentsCode1
A Deep Reinforced Model for Abstractive SummarizationCode1
Collision Probability Distribution Estimation via Temporal Difference LearningCode1
Knowledge-guided Open Attribute Value Extraction with Reinforcement LearningCode1
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement LearningCode1
Show:102550
← PrevPage 60 of 605Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76Unverified
2PPOMean Normalized Performance0.58Unverified