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 11011150 of 1161 papers

TitleStatusHype
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation0
Analyzing the Impact of Class Transitions on the Design of Pattern Recognition-based Myoelectric Control Schemes0
Single-Shot Pruning for Offline Reinforcement Learning0
Skill-based Meta-Reinforcement Learning0
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach0
Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute0
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences0
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning0
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations0
Skill Discovery for Exploration and Planning using Deep Skill Graphs0
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences0
Uncertainty Estimation Using Riemannian Model~Dynamics for Offline Reinforcement Learning0
GEM: Group Enhanced Model for Learning Dynamical Control Systems0
Generalised Policy Improvement with Geometric Policy Composition0
Cross-Episodic Curriculum for Transformer Agents0
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks0
Generalization in Transfer Learning0
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning0
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning0
Corrected Soft Actor Critic for Continuous Control0
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL0
Generalizing Successor Features to continuous domains for Multi-task Learning0
Smoothed Action Value Functions for Learning Gaussian Policies0
General Value Function Networks0
Coordinate-wise Control Variates for Deep Policy Gradients0
Smooth Imitation Learning via Smooth Costs and Smooth Policies0
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning0
Global Convergence of Direct Policy Search for State-Feedback H_ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential0
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator0
Global Convergence of Policy Gradient Methods for Linearized Control Problems0
Cooperative Heterogeneous Deep Reinforcement Learning0
VILD: Variational Imitation Learning with Diverse-quality Demonstrations0
Gradient Monitored Reinforcement Learning0
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning0
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving0
Language Conditioned Imitation Learning over Unstructured Data0
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution0
Guarded Policy Optimization with Imperfect Online Demonstrations0
You May Not Need Ratio Clipping in PPO0
Analysis of potential flow networks: Variations in transport time with discrete, continuous, and selfish operation0
Guided Meta-Policy Search0
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions0
Guiding Safe Exploration with Weakest Preconditions0
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning0
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL0
Hamiltonian Policy Optimization0
Hamiltonian Policy Optimization in Reinforcement Learning0
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach0
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control0
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation0
Show:102550
← PrevPage 23 of 24Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAC gSDEReturn3,459Unverified
2TD3 gSDEReturn3,267Unverified
3TD3Return2,865Unverified
4SACReturn2,859Unverified
5PPO gSDEReturn2,587Unverified
6A2C gSDEReturn2,560Unverified
7PPOReturn2,160Unverified
8A2CReturn1,967Unverified
#ModelMetricClaimedVerifiedStatus
1SACReturn2,883Unverified
2SAC gSDEReturn2,850Unverified
3PPO + gSDEReturn2,760Unverified
4TD3Return2,687Unverified
5TD3 gSDEReturn2,578Unverified
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
1SAC gSDEReturn2,341Unverified
2SACReturn2,215Unverified
3TD3Return2,106Unverified
4TD3 gSDEReturn1,989Unverified
5PPO gSDEReturn1,776Unverified
6PPOReturn1,238Unverified
7A2C gSDEReturn694Unverified
8A2CReturn443Unverified
#ModelMetricClaimedVerifiedStatus
1DreamerV1Return800Unverified
2SLACReturn700Unverified
3DrQReturn660Unverified
4PlaNetReturn650Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn998.14Unverified
2DREAMERReturn853Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn868.87Unverified
2MuZero UnpluggedReturn594.3Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn914.39Unverified
2MuZero UnpluggedReturn869.9Unverified
#ModelMetricClaimedVerifiedStatus
1DrQReturn963Unverified
2PlaNetReturn914Unverified
#ModelMetricClaimedVerifiedStatus
1DrQReturn921Unverified
2PlaNetReturn890Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn963.07Unverified
2MuZero UnpluggedReturn759Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn987.79Unverified
2MuZero UnpluggedReturn887.2Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn975.46Unverified
2MuZero UnpluggedReturn949.5Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore1,353.8Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-326Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-83.3Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-149.6Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn417.52Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-170.9Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore730.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-0.4Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore0Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn977.38Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore769Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore959Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn984.86Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore4,869.8Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore960.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore606.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore980.3Unverified
#ModelMetricClaimedVerifiedStatus
1MACScore178.3Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore582Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore841Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn846.91Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore299Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore518Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore4,412.4Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn986.38Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore767Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore926Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn972.53Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn681.6Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore287Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore1,914Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore1,183.3Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn528.24Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn926.5Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn643.1Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore247.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore4.5Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore10.4Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore14.1Unverified
#ModelMetricClaimedVerifiedStatus
1MACScore163.5Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn659.2Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn556Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-61.7Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-64.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-60.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-61.6Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn837.76Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn923.54Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn933.77Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn982.26Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore538Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore929Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn971.53Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore269.7Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore96Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore0Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore0Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn931.06Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore403Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore902Unverified