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 9301–9350 of 15113 papers

TitleStatusHype
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation—0
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and AlgorithmsCode1
Obtain Employee Turnover Rate and Optimal Reduction Strategy Based On Neural Network and Reinforcement Learning—0
Assessing and Accelerating Coverage in Deep Reinforcement Learning—0
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints—0
A Local Temporal Difference Code for Distributional Reinforcement Learning—0
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory—0
A new convergent variant of Q-learning with linear function approximation—0
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition—0
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method—0
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making—0
MOReL: Model-Based Offline Reinforcement Learning—0
Non-Crossing Quantile Regression for Distributional Reinforcement Learning—0
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems—0
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations—0
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning—0
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement LearningCode0
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes—0
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms—0
Reinforcement Learning for Control with Multiple Frequencies—0
Robust Multi-Agent Reinforcement Learning with Model Uncertainty—0
Online Decision Based Visual Tracking via Reinforcement Learning—0
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration—0
On Efficiency in Hierarchical Reinforcement Learning—0
Is Long Horizon RL More Difficult Than Short Horizon RL?—0
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?Code1
Instance-based Generalization in Reinforcement Learning—0
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning—0
Learning Multi-Agent Communication through Structured Attentive ReasoningCode1
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates—0
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUpCode0
UniCon: Universal Neural Controller For Physics-based Character Motion—0
Soft-Robust Algorithms for Batch Reinforcement Learning—0
Optimizing the Neural Architecture of Reinforcement Learning AgentsCode0
Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems—0
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations—0
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems—0
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies—0
Offline Reinforcement Learning Hands-On—0
Self-supervised Visual Reinforcement Learning with Object-centric RepresentationsCode1
Minimax Sample Complexity for Turn-based Stochastic Game—0
Human-Agent Cooperation in Bridge Bidding—0
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer—0
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks—0
A survey of benchmarking frameworks for reinforcement learning—0
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement LearningCode0
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning—0
Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles—0
Optimization of the Model Predictive Control Update Interval Using Reinforcement LearningCode1
Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning—0
Show:102550
← PrevPage 187 of 303Next →

Benchmark Results

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