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 53015350 of 15113 papers

TitleStatusHype
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System0
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning0
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines0
Distinguishing Learning Rules with Brain Machine InterfacesCode0
On the Complexity of Adversarial Decision Making0
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement LearningCode1
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning0
Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-TatCode0
Improving Policy Optimization with Generalist-Specialist LearningCode0
Analysis of Stochastic Processes through Replay Buffers0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches0
Functional Optimization Reinforcement Learning for Real-Time Bidding0
Guided Exploration in Reinforcement Learning via Monte Carlo Critic OptimizationCode0
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation0
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning0
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation0
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents0
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems0
Reinforcement learning based adaptive metaheuristicsCode0
Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach0
Joint Representation Training in Sequential Tasks with Shared Structure0
Dynamic network congestion pricing based on deep reinforcement learning0
Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: a random search approach0
Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach0
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning0
Reinforcement Learning under Partial Observability Guided by Learned Environment Models0
Recursive Reinforcement Learning0
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality0
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation0
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online VideosCode3
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations0
CGAR: Critic Guided Action Redistribution in Reinforcement LeaningCode0
A Federated Reinforcement Learning Method with Quantization for Cooperative Edge Caching in Fog Radio Access Networks0
Multi-Agent Car Parking using Reinforcement LearningCode1
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy TransferCode0
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Auto-Encoding Adversarial Imitation Learning0
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement LearningCode0
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks0
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation0
Fusion of Model-free Reinforcement Learning with Microgrid Control: Review and Vision0
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space0
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy SimulationsCode1
Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO0
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation ApproachCode0
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL0
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive LearningCode1
Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking0
Show:102550
← PrevPage 107 of 303Next →

Benchmark Results

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