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 32013250 of 15113 papers

TitleStatusHype
A Survey of Continual Reinforcement Learning0
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards0
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning0
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps0
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows0
Data-assimilated model-informed reinforcement learning0
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making0
Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory0
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation0
Data Center Cooling System Optimization Using Offline Reinforcement Learning0
Asymptotics of Reinforcement Learning with Neural Networks0
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading0
Data Distillation for Controlling Specificity in Dialogue Generation0
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning0
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning0
Data-driven control of COVID-19 in buildings: a reinforcement-learning approach0
Data-driven control of micro-climate in buildings: an event-triggered reinforcement learning approach0
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning0
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach0
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces0
Data-Driven Evaluation of Training Action Space for Reinforcement Learning0
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems0
Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects0
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games0
Data-Driven Learning and Load Ensemble Control0
Data-Driven LQR using Reinforcement Learning and Quadratic Neural Networks0
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles0
Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey0
Data-Driven Offline Decision-Making via Invariant Representation Learning0
Data-driven Outer-Loop Control Using Deep Reinforcement Learning for Trajectory Tracking0
Credit Assignment Techniques in Stochastic Computation Graphs0
Data Driven Reward Initialization for Preference based Reinforcement Learning0
Data-Driven Robust Control Using Reinforcement Learning0
Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning0
A Survey of Constraint Formulations in Safe Reinforcement Learning0
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning0
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation0
A survey of benchmarking frameworks for reinforcement learning0
Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning0
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control0
Data-Efficient Exploration with Self Play for Atari0
Asynchronous training of quantum reinforcement learning0
Data-Efficient Learning from Human Interventions for Mobile Robots0
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models0
A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks0
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data0
Data-Efficient Quadratic Q-Learning Using LMIs0
Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics0
Data Efficient Reinforcement Learning for Legged Robots0
Creativity in Robot Manipulation with Deep Reinforcement Learning0
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Benchmark Results

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