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 52015250 of 15113 papers

TitleStatusHype
Hypernetwork Dismantling via Deep Reinforcement Learning0
Hypernetworks for Zero-shot Transfer in Reinforcement Learning0
Hyper-parameter Optimisation of Gaussian Process Reinforcement Learning for Statistical Dialogue Management0
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization0
Hyperparameter Optimization for Multi-Objective Reinforcement Learning0
Hyperparameter Selection for Offline Reinforcement Learning0
Hyperparameters in Reinforcement Learning and How To Tune Them0
Hyperparameter Tuning for Deep Reinforcement Learning Applications0
Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space0
Hyperspherical Normalization for Scalable Deep Reinforcement Learning0
Hypothesis Driven Coordinate Ascent for Reinforcement Learning0
IA-MARL: Imputation Assisted Multi-Agent Reinforcement Learning for Missing Training Data0
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation0
Identifiability in inverse reinforcement learning0
Identifying Coordination in a Cognitive Radar Network -- A Multi-Objective Inverse Reinforcement Learning Approach0
Identifying Critical States by the Action-Based Variance of Expected Return0
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment0
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations0
IGO-QNN: Quantum Neural Network Architecture for Inductive Grover Oracularization0
ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis0
IL-flOw: Imitation Learning from Observation using Normalizing Flows0
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation0
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light0
Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks0
Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization0
Image Captioning based on Deep Reinforcement Learning0
Image Deraining via Self-supervised Reinforcement Learning0
Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework0
Image quality assessment for machine learning tasks using meta-reinforcement learning0
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning0
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models0
Imagine Networks0
Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO0
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning0
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games0
Imitating Past Successes can be Very Suboptimal0
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World0
Imitation Bootstrapped Reinforcement Learning0
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios0
Forward and inverse reinforcement learning sharing network weights and hyperparameters0
Imitation Learning for Human Pose Prediction0
Imitation Learning with Concurrent Actions in 3D Games0
Imitation-Projected Programmatic Reinforcement Learning0
Imitation with Neural Density Models0
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making0
Imminent Collision Mitigation with Reinforcement Learning and Vision0
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks0
Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agents0
Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot0
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Benchmark Results

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