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 751800 of 1161 papers

TitleStatusHype
Learning the Linear Quadratic Regulator from Nonlinear Observations0
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving0
Reinforcement Learning with Random DelaysCode1
Learning Diverse Options via InfoMax Termination CriticCode0
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible ControlCode1
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control0
Bridging the gap between Markowitz planning and deep reinforcement learning0
Neural Lyapunov Model Predictive Control0
Adaptive Discretization for Continuous Control using Particle Filtering Policy Network0
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator0
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents0
Multi-Agent Reinforcement Learning in Cournot Games0
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous ControlCode1
Visualizing the Loss Landscape of Actor Critic Methods with Applications in Inventory Optimization0
On the model-based stochastic value gradient for continuous reinforcement learningCode1
Learning Off-Policy with Online PlanningCode1
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation0
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning0
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy EvolutionCode1
Proximal Deterministic Policy Gradient0
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation0
Learning Compositional Neural Programs for Continuous Control0
Predictive Information Accelerates Learning in RLCode1
Understanding and Mitigating the Limitations of Prioritized Experience ReplayCode0
Control as Hybrid Inference0
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy EstimateCode1
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation LearningCode0
Deep Bayesian Quadrature Policy OptimizationCode1
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning0
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain ClassifiersCode0
dm_control: Software and Tasks for Continuous Control0
Information Theoretic Regret Bounds for Online Nonlinear ControlCode0
Towards Tractable Optimism in Model-Based Reinforcement Learning0
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement LearningCode1
WD3: Taming the Estimation Bias in Deep Reinforcement Learning0
Reparameterized Variational Divergence Minimization for Stable Imitation0
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning0
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach0
Parameter-Based Value FunctionsCode0
Model-based Adversarial Meta-Reinforcement LearningCode1
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous ControlCode1
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization0
Provably Efficient Model-based Policy Adaptation0
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies0
Lifelong Learning of Factored Policies via Policy Gradients0
Skill Discovery for Exploration and Planning using Deep Skill Graphs0
A Policy Gradient Method for Task-Agnostic ExplorationCode1
Self-Imitation Learning via Generalized Lower Bound Q-learning0
Continuous Control for Searching and Planning with a Learned Model0
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Benchmark Results

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