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 46514700 of 15113 papers

TitleStatusHype
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms0
An Energy-Saving Snake Locomotion Gait Policy Obtained Using Deep Reinforcement Learning0
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems0
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning0
A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning0
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS0
A New Approach for Resource Scheduling with Deep Reinforcement Learning0
A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System0
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System0
A new convergent variant of Q-learning with linear function approximation0
A New Deep Neural Architecture Search Pipeline for Face Recognition0
A new dog learns old tricks: RL finds classic optimization algorithms0
A New Framework for Query Efficient Active Imitation Learning0
A New Interpretation of the Certainty-Equivalence Approach for PAC Reinforcement Learning with a Generative Model0
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games0
A new Potential-Based Reward Shaping for Reinforcement Learning Agent0
A new Reinforcement Learning framework to discover natural flavor molecules0
A New Representation of Successor Features for Transfer across Dissimilar Environments0
A new soft computing method for integration of expert's knowledge in reinforcement learn-ing problems0
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting0
An Examination of Preference-based Reinforcement Learning for Treatment Recommendation0
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation0
An Experimental Design Perspective on Exploration in Reinforcement Learning0
An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap0
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap0
An Extensible Interactive Interface for Agent Design0
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning0
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient0
An Improved Reinforcement Learning Algorithm for Learning to Branch0
An Improved Reinforcement Learning Model Based on Sentiment Analysis0
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games0
An Independent Study of Reinforcement Learning and Autonomous Driving0
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design0
An Inductive Synthesis Framework for Verifiable Reinforcement Learning0
An Information-Theoretic Analysis of Bayesian Reinforcement Learning0
An Information Theoretic Approach to Interaction-Grounded Learning0
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning0
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning0
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey0
An initial attempt of combining visual selective attention with deep reinforcement learning0
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm0
An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development0
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning0
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility0
An Introduction to Quantum Reinforcement Learning (QRL)0
Introduction to Reinforcement Learning0
An introduction to reinforcement learning for neuroscience0
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning0
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Benchmark Results

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