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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4726–4750 of 15113 papers

TitleStatusHype
Deep Reinforcement Learning from Hierarchical Preference DesignCode0
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation—0
Model-based Offline Policy Optimization with Adversarial NetworkCode0
Dialog Action-Aware Transformer for Dialog Policy Learning—0
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges—0
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance—0
INTAGS: Interactive Agent-Guided Simulation—0
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained ModelsCode0
Marginalized Importance Sampling for Off-Environment Policy Evaluation—0
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy—0
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement LearningCode0
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation—0
Neurosymbolic Reinforcement Learning and Planning: A Survey—0
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing—0
Multi-Objective Decision Transformers for Offline Reinforcement Learning—0
Iterative Reward Shaping using Human Feedback for Correcting Reward MisspecificationCode0
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO—0
A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake—0
Improving Generalization in Reinforcement Learning Training Regimes for Social Robot NavigationCode0
On the improvement of model-predictive controllers—0
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning—0
Target-independent XLA optimization using Reinforcement Learning—0
Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation—0
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities—0
Joint Band Assignment and Beam Management using Hierarchical Reinforcement Learning for Multi-Band Communication—0
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Benchmark Results

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