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 55515600 of 15113 papers

TitleStatusHype
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey0
Intrinsically Motivated Learning of Causal World Models0
Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit0
Intrinsically motivated option learning: a comparative study of recent methods0
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction0
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation0
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning0
Intrinsic Exploration as Multi-Objective RL0
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization0
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review0
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle0
Introducing Symmetries to Black Box Meta Reinforcement Learning0
Introduction to Machine Learning for Accelerator Physics0
Introduction to Machine Learning for the Sciences0
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation0
Introduction to Soar0
Introduction to the "Industrial Benchmark"0
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios0
Introspection Learning0
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models0
Invariant Representations for Reinforcement Learning without Reconstruction0
Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences0
Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning0
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem0
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner0
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics0
Inverse Reinforcement Learning: A Control Lyapunov Approach0
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning0
Inverse reinforcement learning conditioned on brain scan0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning0
Inverse Reinforcement Learning for Marketing0
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems0
Inverse Reinforcement Learning for Strategy Identification0
Inverse Reinforcement Learning for Text Summarization0
Inverse Reinforcement Learning from a Gradient-based Learner0
Graph Inverse Reinforcement Learning from Diverse Videos0
Inverse Reinforcement Learning from Summary Data0
Inverse Reinforcement Learning in Large State Spaces via Function Approximation0
Inverse Reinforcement Learning in Swarm Systems0
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees0
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities0
WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata0
Inverse Reinforcement Learning through Structured Classification0
Inverse Reinforcement Learning Under Noisy Observations0
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling0
Inverse Reinforcement Learning via Deep Gaussian Process0
Inverse Reinforcement Learning via Matching of Optimality Profiles0
Inverse Reinforcement Learning with Conditional Choice Probabilities0
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics0
Inverse Reinforcement Learning with Explicit Policy Estimates0
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Benchmark Results

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