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 22512300 of 15113 papers

TitleStatusHype
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement LearningCode1
Conservative Offline Distributional Reinforcement LearningCode1
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward EnvironmentsCode1
Bridging Imagination and Reality for Model-Based Deep Reinforcement LearningCode1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement LearningCode1
Converting Biomechanical Models from OpenSim to MuJoCoCode1
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement LearningCode1
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical InvestigationCode1
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement LearningCode1
Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based NavigationCode1
Interpretable Concept Bottlenecks to Align Reinforcement Learning AgentsCode1
Enhancing RL Safety with Counterfactual LLM ReasoningCode1
Behaviour Discovery and Attribution for Explainable Reinforcement Learning0
Behaviour-conditioned policies for cooperative reinforcement learning tasks0
Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections0
Behavioural Cloning in VizDoom0
Behavior Regularized Offline Reinforcement Learning0
Adaptive Tree Backup Algorithms for Temporal-Difference Reinforcement Learning0
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning0
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning0
Behavior Priors for Efficient Reinforcement Learning0
Analytically Tractable Bayesian Deep Q-Learning0
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment0
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management0
Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning0
Behavior-Guided Reinforcement Learning0
Analysis on Riemann Hypothesis with Cross Entropy Optimization and Reasoning0
A Boosting Approach to Reinforcement Learning0
Behavior Constraining in Weight Space for Offline Reinforcement Learning0
Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits0
Finite-Time Analysis of Temporal Difference Learning: Discrete-Time Linear System Perspective0
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL0
Behaviorally Diverse Traffic Simulation via Reinforcement Learning0
Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion0
Computational-Statistical Gaps in Reinforcement Learning0
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications0
Behavior Alignment via Reward Function Optimization0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning0
Analysis of Stochastic Processes through Replay Buffers0
Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi0
Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network0
Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning0
Adaptive trading strategies across liquidity pools0
Be Considerate: Objectives, Side Effects, and Deciding How to Act0
Analysis of Reinforcement Learning Schemes for Trajectory Optimization of an Aerial Radio Unit0
A Complementary Learning Systems Approach to Temporal Difference Learning0
Analysis of Reinforcement Learning for determining task replication in workflows0
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy0
Computational Model of Music Sight Reading: A Reinforcement Learning Approach0
Show:102550
← PrevPage 46 of 303Next →

Benchmark Results

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