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
Experience-driven Networking: A Deep Reinforcement Learning based Approach0
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator0
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic ActorCode1
DeepMind Control SuiteCode1
Simple Nearest Neighbor Policy Method for Continuous Control Tasks0
Predicting Multiple Actions for Stochastic Continuous Control0
Combining Model-based and Model-free RL via Multi-step Control Variates0
Learning Gaussian Policies from Smoothed Action Value Functions0
Global Convergence of Policy Gradient Methods for Linearized Control Problems0
Deterministic Policy Imitation Gradient Algorithm0
NerveNet: Learning Structured Policy with Graph Neural NetworksCode0
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator0
Bayesian Policy Gradients via Alpha Divergence Dropout InferenceCode0
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control0
Action Branching Architectures for Deep Reinforcement LearningCode1
Stochastic Variance Reduction for Policy Gradient Estimation0
AMBER: Adaptive Multi-Batch Experience Replay for Continuous Action Control0
A novel DDPG method with prioritized experience replayCode0
Overcoming Exploration in Reinforcement Learning with DemonstrationsCode0
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning0
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement LearningCode0
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for RoboticsCode0
Deep Reinforcement Learning that MattersCode0
Shared Learning : Enhancing Reinforcement in Q-Ensembles0
Deep Reinforcement Learning with Surrogate Agent-Environment Interface0
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximationCode1
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous ControlCode0
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution0
Proximal Policy Optimization AlgorithmsCode2
RAIL: Risk-Averse Imitation LearningCode0
Learning model-based planning from scratchCode0
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously0
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control0
OPEB: Open Physical Environment Benchmark for Artificial Intelligence0
Path Integral Networks: End-to-End Differentiable Optimal Control0
Parameter Space Noise for ExplorationCode0
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning0
Guide Actor-Critic for Continuous ControlCode0
Discrete Sequential Prediction of Continuous Actions for Deep RL0
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation0
Stein Variational Policy Gradient0
Black-Box Data-efficient Policy Search for RoboticsCode0
Learning a Unified Control Policy for Safe Falling0
Towards Generalization and Simplicity in Continuous ControlCode0
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning0
Reinforcement Learning for Pivoting TaskCode0
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless NavigationCode1
Real-time interactive sequence generation and control with Recurrent Neural Network ensembles0
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement LearningCode1
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy CriticCode0
Show:102550
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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
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2MuZero UnpluggedReturn759Unverified
#ModelMetricClaimedVerifiedStatus
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2MuZero UnpluggedReturn887.2Unverified
#ModelMetricClaimedVerifiedStatus
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2MuZero UnpluggedReturn949.5Unverified
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#ModelMetricClaimedVerifiedStatus
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#ModelMetricClaimedVerifiedStatus
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