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 551600 of 1161 papers

TitleStatusHype
Offline Reinforcement Learning with Soft Behavior Regularization0
Planning from Pixels in Environments with Combinatorially Hard Search SpacesCode1
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization0
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning0
Cross-Domain Imitation Learning via Optimal TransportCode1
Evaluating model-based planning and planner amortization for continuous control0
Continuous-Time Fitted Value Iteration for Robust PoliciesCode1
Meta Attention For Off-Policy Actor-Critic0
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning0
State-Only Imitation Learning by Trajectory Distribution Matching0
Reward Shifting for Optimistic Exploration and Conservative Exploitation0
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning0
Multi-batch Reinforcement Learning via Sample Transfer and Imitation Learning0
Imitation Learning from Pixel Observations for Continuous Control0
Gradient Information Matters in Policy Optimization by Back-propagating through ModelCode0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts0
Why so pessimistic? Estimating uncertainties for offline RL through ensembles, and why their independence matters.0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning0
Faster Reinforcement Learning with Value Target Lower Bounding0
Evaluating Robustness of Cooperative MARL0
Distributional Decision Transformer for Hindsight Information Matching0
Generalizing Successor Features to continuous domains for Multi-task Learning0
Joint Self-Supervised Learning for Vision-based Reinforcement Learning0
Transformers are Meta-Reinforcement Learners0
An Experimental Design Perspective on Exploration in Reinforcement Learning0
SPLID: Self-Imitation Policy Learning through Iterative Distillation0
Effects of Conservatism on Offline Learning0
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning0
Exploring More When It Needs in Deep Reinforcement Learning0
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience0
Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy GradientsCode0
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic MethodsCode0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing0
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning0
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods0
Error Controlled Actor-CriticCode0
Photonic Quantum Policy Learning in OpenAI Gym0
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning0
Imitation Learning by Reinforcement LearningCode0
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings0
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement LearningCode1
Shortest-Path Constrained Reinforcement Learning for Sparse Reward TasksCode1
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph DrawingCode1
Cautious Actor-Critic0
Coordinate-wise Control Variates for Deep Policy Gradients0
Imitation by Predicting Observations0
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and ExploitationCode1
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments0
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels0
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and PracticeCode0
Show:102550
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Benchmark Results

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2TD3 gSDEReturn3,267Unverified
3TD3Return2,865Unverified
4SACReturn2,859Unverified
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6PPOReturn2,254Unverified
7A2C + gSDEReturn2,028Unverified
8A2CReturn1,652Unverified
#ModelMetricClaimedVerifiedStatus
1SAC gSDEReturn2,646Unverified
2PPO gSDEReturn2,508Unverified
3SACReturn2,477Unverified
4TD3Return2,470Unverified
5TD3 gSDEReturn2,353Unverified
6PPOReturn1,622Unverified
7A2CReturn1,559Unverified
8A2C gSDEReturn1,448Unverified
#ModelMetricClaimedVerifiedStatus
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2SACReturn2,215Unverified
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6PPOReturn1,238Unverified
7A2C gSDEReturn694Unverified
8A2CReturn443Unverified
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