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 701750 of 1161 papers

TitleStatusHype
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning0
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning0
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator0
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning0
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System0
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control0
Neural Lyapunov Model Predictive Control0
Neural Simplex Architecture0
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata0
Noisy Spiking Actor Network for Exploration0
Normality-Guided Distributional Reinforcement Learning for Continuous Control0
Wasserstein Barycenter Soft Actor-Critic0
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning0
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs0
CAPACITY-LIMITED REINFORCEMENT LEARNING: APPLICATIONS IN DEEP ACTOR-CRITIC METHODS FOR CONTINUOUS CONTROL0
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain0
Adversarial Imitation Learning from Video using a State Observer0
Offline Actor-Critic Reinforcement Learning Scales to Large Models0
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching0
Offline Learning from Demonstrations and Unlabeled Experience0
Offline Multi-agent Reinforcement Learning via Score Decomposition0
Offline Policy Optimization in RL with Variance Regularizaton0
What Matters for Adversarial Imitation Learning?0
Offline Policy Optimization with Variance Regularization0
Offline Reinforcement Learning as Anti-Exploration0
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study0
Offline Reinforcement Learning with Soft Behavior Regularization0
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?0
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint0
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay0
CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimality0
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously0
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)0
Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift0
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction0
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning0
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions0
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains0
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL0
On the importance of data collection for training general goal-reaching policies0
On Inductive Biases in Deep Reinforcement Learning0
On learning history based policies for controlling Markov decision processes0
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression0
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control0
Online Policy Learning from Offline Preferences0
Time-Constrained Robust MDPs0
Towards Tractable Optimism in Model-Based Reinforcement Learning0
Policy Optimization Reinforcement Learning with Entropy Regularization0
On-Policy Robot Imitation Learning from a Converging Supervisor0
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Benchmark Results

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