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 501550 of 1161 papers

TitleStatusHype
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method0
Improving Deep Policy Gradients with Value Function Search0
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning0
Improving Generative Adversarial Imitation Learning with Non-expert Demonstrations0
Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization0
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning0
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning0
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations0
Information Maximizing Exploration with a Latent Dynamics Model0
Dive into the Power of Neuronal Heterogeneity0
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration0
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning0
DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning0
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression0
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control0
Distributionally Robust Reinforcement Learning0
Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking0
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications0
Learning Policies for Continuous Control via Transition Models0
Distributional Decision Transformer for Hindsight Information Matching0
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control0
Distributed Safe Control Design and Probabilistic Safety Verification for Multi-Agent Systems0
Challenging On Car Racing Problem from OpenAI gym0
Disentangling Transfer in Continual Reinforcement Learning0
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction0
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction0
Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection0
Learning Latent Landmarks for Generalizable Planning0
Learning Memory-Dependent Continuous Control from Demonstrations0
Learning Policy Representations in Multiagent Systems0
Discrete Sequential Prediction of Continuous Actions for Deep RL0
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning0
ARC -- Actor Residual Critic for Adversarial Imitation Learning0
Learning Gaussian Policies from Smoothed Action Value Functions0
Cautious Actor-Critic0
Causal Information Prioritization for Efficient Reinforcement Learning0
Learning Gaussian Policies from Corrective Human Feedback0
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning0
Diffusion Model-Augmented Behavioral Cloning0
Diffusion Imitation from Observation0
CAQL: Continuous Action Q-Learning0
A Q-learning approach to the continuous control problem of robot inverted pendulum balancing0
CAPACITY-LIMITED REINFORCEMENT LEARNING: APPLICATIONS IN DEEP ACTOR-CRITIC METHODS FOR CONTINUOUS CONTROL0
Differentially Private Deep Model-Based Reinforcement Learning0
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation0
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?0
A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase0
Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning0
Deterministic Value-Policy Gradients0
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Benchmark Results

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2TD3 gSDEReturn3,267Unverified
3TD3Return2,865Unverified
4SACReturn2,859Unverified
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#ModelMetricClaimedVerifiedStatus
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5TD3 gSDEReturn2,578Unverified
6PPOReturn2,254Unverified
7A2C + gSDEReturn2,028Unverified
8A2CReturn1,652Unverified
#ModelMetricClaimedVerifiedStatus
1SAC gSDEReturn2,646Unverified
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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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4TD3 gSDEReturn1,989Unverified
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6PPOReturn1,238Unverified
7A2C gSDEReturn694Unverified
8A2CReturn443Unverified
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