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 51100 of 1161 papers

TitleStatusHype
Continual Reinforcement Learning with Multi-Timescale ReplayCode1
Delay-Aware Model-Based Reinforcement Learning for Continuous ControlCode1
Addressing Function Approximation Error in Actor-Critic MethodsCode1
Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS systemCode1
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation ErrorsCode1
Continuous control with deep reinforcement learningCode1
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous ControlCode1
Action Branching Architectures for Deep Reinforcement LearningCode1
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy SearchCode1
A Divergence Minimization Perspective on Imitation Learning MethodsCode1
An empirical investigation of the challenges of real-world reinforcement learningCode1
Continuous-Time Fitted Value Iteration for Robust PoliciesCode1
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environmentsCode1
Diffusing States and Matching Scores: A New Framework for Imitation LearningCode1
Deep Bayesian Quadrature Policy OptimizationCode1
Adversarially Trained Actor Critic for Offline Reinforcement LearningCode1
Deep Intrinsically Motivated Exploration in Continuous ControlCode1
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and SimplicityCode1
Behavior Contrastive Learning for Unsupervised Skill DiscoveryCode1
CURL: Contrastive Unsupervised Representations for Reinforcement LearningCode1
A Policy Gradient Method for Task-Agnostic ExplorationCode1
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy EstimateCode1
Actor Prioritized Experience ReplayCode1
Benchmarks for Deep Off-Policy EvaluationCode1
DeepMind Control SuiteCode1
AR-DAE: Towards Unbiased Neural Entropy Gradient EstimationCode1
Tactical Optimism and Pessimism for Deep Reinforcement LearningCode1
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous ControlCode1
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation TasksCode1
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto FrontCode1
Cross-Domain Imitation Learning via Optimal TransportCode1
Disagreement-Regularized Imitation LearningCode1
Curriculum Offline Imitation LearningCode1
Boosting Continuous Control with Consistency PolicyCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Bootstrapped Model Predictive ControlCode1
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via DiscretisationCode1
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy EvolutionCode1
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous ControlCode1
DMC-VB: A Benchmark for Representation Learning for Control with Visual DistractorsCode1
Character Controllers Using Motion VAEsCode1
Bingham Policy Parameterization for 3D Rotations in Reinforcement LearningCode1
Dynamic Sparse Training for Deep Reinforcement LearningCode1
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous ControlCode1
Conditional Mutual Information for Disentangled Representations in Reinforcement LearningCode1
Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward ShapingCode1
Federated Ensemble-Directed Offline Reinforcement LearningCode1
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction FollowingCode1
Conservative Q-Learning for Offline Reinforcement LearningCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Show:102550
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Benchmark Results

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3TD3Return2,865Unverified
4SACReturn2,859Unverified
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8A2CReturn1,652Unverified
#ModelMetricClaimedVerifiedStatus
1SAC gSDEReturn2,646Unverified
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3SACReturn2,477Unverified
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5TD3 gSDEReturn2,353Unverified
6PPOReturn1,622Unverified
7A2CReturn1,559Unverified
8A2C gSDEReturn1,448Unverified
#ModelMetricClaimedVerifiedStatus
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8A2CReturn443Unverified
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