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 73017350 of 15113 papers

TitleStatusHype
Faster Reinforcement Learning with Value Target Lower Bounding0
Fastest Convergence for Q-learning0
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning0
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization0
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations0
Fast Policy Learning through Imitation and Reinforcement0
Fast Rates for the Regret of Offline Reinforcement Learning0
Fast Reinforcement Learning for Anti-jamming Communications0
Fast Reinforcement Learning for Energy-Efficient Wireless Communications0
Fast reinforcement learning with generalized policy updates0
Fast Reinforcement Learning with Incremental Gaussian Mixture Models0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning0
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing0
Fast Sequence Generation with Multi-Agent Reinforcement Learning0
Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning0
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning0
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control0
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning0
Fast Value Tracking for Deep Reinforcement Learning0
Fault-Aware Robust Control via Adversarial Reinforcement Learning0
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning0
FDPP: Fine-tune Diffusion Policy with Human Preference0
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning0
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments0
Feasible Policy Iteration for Safe Reinforcement Learning0
Feature and Instance Joint Selection: A Reinforcement Learning Perspective0
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations0
Feature-Based Interpretable Reinforcement Learning based on State-Transition Models0
Feature Construction for Inverse Reinforcement Learning0
Feature Engineering for Predictive Modeling using Reinforcement Learning0
Feature-Rich Long-term Bitcoin Trading Assistant0
Feature Selection as a Multiagent Coordination Problem0
Feature Selection as a One-Player Game0
Feature Selection Using Reinforcement Learning0
Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing0
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems0
Federated Learning for Distributed Energy-Efficient Resource Allocation0
Federated Model Search via Reinforcement Learning0
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing0
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management0
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning0
Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps0
Federated Offline Reinforcement Learning0
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices0
Federated Reinforcement Distillation with Proxy Experience Memory0
Federated Deep Reinforcement Learning0
Federated Reinforcement Learning at the Edge0
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms0
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control0
Show:102550
← PrevPage 147 of 303Next →

Benchmark Results

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