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 3001–3050 of 15113 papers

TitleStatusHype
Investigating the Impact of Action Representations in Policy Gradient Algorithms—0
Safe Reinforcement Learning with Dual Robustness—0
Efficient Reinforcement Learning for Jumping MonopodsCode0
Reasoning with Latent Diffusion in Offline Reinforcement LearningCode1
Improved Monte Carlo tree search formulation with multiple root nodes for discrete sizing optimization of truss structures—0
Toward Discretization-Consistent Closure Schemes for Large Eddy Simulation Using Reinforcement LearningCode1
Risk-Aware Reinforcement Learning through Optimal Transport Theory—0
Representation Learning in Low-rank Slate-based Recommender Systems—0
Signal Temporal Logic Neural Predictive Control—0
Verifiable Reinforcement Learning Systems via Compositionality—0
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective—0
Compositional Learning of Visually-Grounded Concepts Using ReinforcementCode0
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control—0
A State Representation for Diminishing Rewards—0
Deep Reinforcement Learning from Hierarchical Preference DesignCode0
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal ModelsCode2
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation—0
Dialog Action-Aware Transformer for Dialog Policy Learning—0
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges—0
Model-based Offline Policy Optimization with Adversarial NetworkCode0
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained ModelsCode0
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance—0
INTAGS: Interactive Agent-Guided Simulation—0
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
A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake—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
On the improvement of model-predictive controllers—0
Improving Generalization in Reinforcement Learning Training Regimes for Social Robot NavigationCode0
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning—0
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt LearningCode1
Target-independent XLA optimization using Reinforcement Learning—0
Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation—0
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading—0
Joint Band Assignment and Beam Management using Hierarchical Reinforcement Learning for Multi-Band Communication—0
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities—0
MolOpt: Autonomous Molecular Geometry Optimization using Multi-Agent Reinforcement LearningCode0
Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car—0
Bayesian Exploration Networks—0
Reinforcement learning informed evolutionary search for autonomous systems testing—0
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory—0
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game—0
Conditional Kernel Imitation Learning for Continuous State Environments—0
RamseyRL: A Framework for Intelligent Ramsey Number Counterexample SearchingCode0
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Benchmark Results

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