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 1050110550 of 15113 papers

TitleStatusHype
Policy Optimization for H_2 Linear Control with H_ Robustness Guarantee: Implicit Regularization and Global Convergence0
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive HandsCode0
Online Data Poisoning Attacks0
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems0
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors0
Balancing a CartPole System with Reinforcement Learning -- A Tutorial0
Conservative Q-Learning for Offline Reinforcement LearningCode1
A Comparison of Self-Play Algorithms Under a Generalized Framework0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning0
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models0
A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret0
Learning to Play No-Press Diplomacy with Best Response Policy IterationCode1
Stable Reinforcement Learning with Unbounded State Space0
Reinforcement Learning Under Moral UncertaintyCode1
Randomized Policy Learning for Continuous State and Action MDPs0
Skill Discovery of Coordination in Multi-agent Reinforcement Learning0
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply ChainsCode1
Real-Time Model Calibration with Deep Reinforcement Learning0
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping0
Efficient Poverty Mapping using Deep Reinforcement Learning0
Dual Policy DistillationCode0
Implications of Human Irrationality for Reinforcement Learning0
Incorporating Pragmatic Reasoning Communication into Emergent Language0
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Efficient Evaluation of Natural Stochastic Policies in Offline Reinforcement Learning0
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity0
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample ComplexityCode1
Stable and Efficient Policy Evaluation0
State Action Separable Reinforcement Learning0
AutoHAS: Efficient Hyperparameter and Architecture Search0
Deployment-Efficient Reinforcement Learning via Model-Based Offline OptimizationCode1
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal AgentCode0
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval0
Visual Transfer for Reinforcement Learning via Wasserstein Domain ConfusionCode0
Meta-Model-Based Meta-Policy Optimization0
Single-step deep reinforcement learning for open-loop control of laminar and turbulent flowsCode1
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement LearningCode1
Refined Continuous Control of DDPG Actors via Parametrised Activation0
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty0
A Novel Update Mechanism for Q-Networks Based On Extreme Learning MachinesCode0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains0
Interferobot: aligning an optical interferometer by a reinforcement learning agentCode1
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging0
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning0
Temporally-Extended ε-Greedy ExplorationCode0
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient AscentCode0
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient ExplorationCode0
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Active Vision for Early Recognition of Human Actions0
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning0
Show:102550
← PrevPage 211 of 303Next →

Benchmark Results

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