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 58515900 of 15113 papers

TitleStatusHype
Learning by shaking: Computing policy gradients by physical forward-propagation0
Learning Causal Overhypotheses through Exploration in Children and Computational Models0
Learning Combinatorial Node Labeling Algorithms0
Learning Compact Reward for Image Captioning0
Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study0
Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots0
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning0
Learning Control for Air Hockey Striking using Deep Reinforcement Learning0
Learning Controllable Elements Oriented Representations for Reinforcement Learning0
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning0
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner0
Learning Curricula in Open-Ended Worlds0
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior0
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search0
Learning Deterministic Policy with Target for Power Control in Wireless Networks0
Learning Dexterous In-Hand Manipulation0
Learning Dexterous Object Handover0
Learning Dialog Policies from Weak Demonstrations0
Learning Diverse Policies with Soft Self-Generated Guidance0
Learning Dual-Arm Coordination for Grasping Large Flat Objects0
Learning Dual-arm Object Rearrangement for Cartesian Robots0
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning0
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach0
Learning Dynamics and Generalization in Reinforcement Learning0
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future0
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning0
Learning Eco-Driving Strategies at Signalized Intersections0
Learning Efficient Multi-Agent Cooperative Visual Exploration0
Learning Efficient Navigation in Vortical Flow Fields0
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD0
Learning Efficient Planning-based Rewards for Imitation Learning0
Learning Efficient Recursive Numeral Systems via Reinforcement Learning0
Learning Efficient Representations for Reinforcement Learning0
Learning Elimination Ordering for Tree Decomposition Problem0
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments0
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning0
Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults0
Learning Equational Theorem Proving0
Learning Exploration Policies for Model-Agnostic Meta-Reinforcement Learning0
Learning Extreme Hummingbird Maneuvers on Flapping Wing Robots0
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards0
Learning fast changing slow in spiking neural networks0
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients0
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models0
Learning Force Control for Legged Manipulation0
Learning for Visual Navigation by Imagining the Success0
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning0
Learning from Demonstrations using Signal Temporal Logic0
Learning from Demonstrations with Energy based Generative Adversarial Imitation Learning0
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning0
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Benchmark Results

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