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 23012350 of 15113 papers

TitleStatusHype
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks0
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion0
Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability0
Adaptive Trade-Offs in Off-Policy Learning0
Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training0
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems0
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems0
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines0
Adaptive Torque Control of Exoskeletons under Spasticity Conditions via Reinforcement Learning0
Consistent Meta-Reinforcement Learning via Model Identification and Experience Relabeling0
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules0
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning0
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies0
Analysis and Improvement of Policy Gradient Estimation0
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts0
Adaptive Temporal Difference Learning with Linear Function Approximation0
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning0
Bayesian Reinforcement Learning in Factored POMDPs0
Bayesian Reinforcement Learning: A Survey0
A Comparison of Self-Play Algorithms Under a Generalized Framework0
Bayesian Q-learning With Imperfect Expert Demonstrations0
Bayesian policy selection using active inference0
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation0
Conservative Distributional Reinforcement Learning with Safety Constraints0
Conservative Exploration in Reinforcement Learning0
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning0
Analysing Congestion Problems in Multi-agent Reinforcement Learning0
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks0
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence0
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents0
Bayesian Linear Regression on Deep Representations0
Adaptive Structural Hyper-Parameter Configuration by Q-Learning0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning0
Bayesian Inference of Self-intention Attributed by Observer0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning0
Consensus-based Sequence Training for Video Captioning0
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning0
Bayesian Hierarchical Reinforcement Learning0
Analog Circuit Design with Dyna-Style Reinforcement Learning0
Bayesian Exploration Networks0
Bayesian Exploration for Lifelong Reinforcement Learning0
An Algorithmic Theory of Metacognition in Minds and Machines0
Adaptive Stress Testing without Domain Heuristics using Go-Explore0
Bayesian Distributional Policy Gradients0
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons0
Monte Carlo Bayesian Reinforcement Learning0
Adaptive Stress Testing for Autonomous Vehicles0
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control0
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling0
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Benchmark Results

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