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 85018550 of 15113 papers

TitleStatusHype
Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning0
Privacy Preserving Off-Policy Evaluation0
Privacy-Preserving Reinforcement Learning Beyond Expectation0
Privacy Preserving Reinforcement Learning for Population Processes0
Privacy-Preserving Kickstarting Deep Reinforcement Learning with Privacy-Aware Learners0
Privately Aligning Language Models with Reinforcement Learning0
Private Reinforcement Learning with PAC and Regret Guarantees0
Privileged Information Dropout in Reinforcement Learning0
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving0
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning0
ProAPT: Projection of APT Threats with Deep Reinforcement Learning0
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach0
Probabilistic Constraint for Safety-Critical Reinforcement Learning0
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning0
Probabilistic Guarantees for Safe Deep Reinforcement Learning0
Probabilistic hypergraph grammars for efficient molecular optimization0
Probabilistic Inference in Reinforcement Learning Done Right0
Probabilistic inverse reinforcement learning in unknown environments0
Probabilistic inverse reinforcement learning in unknown environments0
Probabilistic Machine Learning for Healthcare0
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies0
Probabilistic model predictive safety certification for learning-based control0
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning0
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning0
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching0
Probabilistic Shielding for Safe Reinforcement Learning0
Probabilistic Successor Representations with Kalman Temporal Differences0
Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach0
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning0
Probe-Based Interventions for Modifying Agent Behavior0
Probing for Consciousness in Machines0
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems0
Probing Transfer in Deep Reinforcement Learning without Task Engineering0
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs0
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning0
Processing Network Controls via Deep Reinforcement Learning0
Process Supervision-Guided Policy Optimization for Code Generation0
Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms0
Product Title Refinement via Multi-Modal Generative Adversarial Learning0
Proficiency Constrained Multi-Agent Reinforcement Learning for Environment-Adaptive Multi UAV-UGV Teaming0
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets0
Programmable Control of Ultrasound Swarmbots through Reinforcement Learning0
Programmatically Interpretable Reinforcement Learning0
Programmatic Policy Extraction by Iterative Local Search0
Programmatic Reinforcement Learning without Oracles0
Programmatic Reward Design by Example0
Program Synthesis Through Reinforcement Learning Guided Tree Search0
Progress and summary of reinforcement learning on energy management of MPS-EV0
Progressive extension of reinforcement learning action dimension for asymmetric assembly tasks0
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control0
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Benchmark Results

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