SOTAVerified

Continuous Control

Continuous control in the context of playing games, especially within artificial intelligence (AI) and machine learning (ML), refers to the ability to make a series of smooth, ongoing adjustments or actions to control a game or a simulation. This is in contrast to discrete control, where the actions are limited to a set of specific, distinct choices. Continuous control is crucial in environments where precision, timing, and the magnitude of actions matter, such as driving a car in a racing game, controlling a character in a simulation, or managing the flight of an aircraft in a flight simulator.

Papers

Showing 801850 of 1161 papers

TitleStatusHype
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation0
Policy Optimization In the Face of Uncertainty0
Adaptive Experience Selection for Policy Gradient0
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning0
Adaptive Discretization for Continuous Control using Particle Filtering Policy Network0
Policy Optimization with Stochastic Mirror Descent0
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space0
BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning0
Policy Search by Target Distribution Learning for Continuous Control0
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning0
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks0
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models0
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration0
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control0
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation0
Predicting Multiple Actions for Stochastic Continuous Control0
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback0
Bearing-based Formation with Disturbance Rejection0
Bayesian Bellman Operators0
A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning0
Zero-shot Sim2Real Adaptation Across Environments0
Batch Reinforcement Learning with Hyperparameter Gradients0
Deep Exploration with PAC-Bayes0
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning0
Probabilistic Planning with Sequential Monte Carlo methods0
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control0
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning0
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method0
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods0
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation0
Provably Efficient Model-based Policy Adaptation0
Proximal Deterministic Policy Gradient0
Trajectory-Oriented Policy Optimization with Sparse Rewards0
AWD3: Dynamic Reduction of the Estimation Bias0
Proximal Policy Optimization Smoothed Algorithm0
Proximal Policy Optimization via Enhanced Exploration Efficiency0
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution0
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control0
Pulse Width Modulation Method Applied to Nonlinear Model Predictive Control on an Under-actuated Small Satellite0
PWM: Policy Learning with Multi-Task World Models0
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration0
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization0
Q-Learning in enormous action spaces via amortized approximate maximization0
Trajectory VAE for multi-modal imitation0
Transfer Value or Policy? A Value-centric Framework Towards Transferrable Continuous Reinforcement Learning0
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning0
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles0
Average-Reward Reinforcement Learning with Trust Region Methods0
Quality Diversity Imitation Learning0
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Benchmark Results

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