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 601650 of 1161 papers

TitleStatusHype
Energy-Based Continuous Inverse Optimal Control0
Stochastic Variance Reduction for Policy Gradient Estimation0
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator0
Strategically-timed State-Observation Attacks on Deep Reinforcement Learning Agents0
Lifelong Learning of Factored Policies via Policy Gradients0
Linear Representation Meta-Reinforcement Learning for Instant Adaptation0
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration0
Structured Neural Network Dynamics for Model-based Control0
AMBER: Adaptive Multi-Batch Experience Replay for Continuous Action Control0
Success at any cost: value constrained model-free continuous control0
Locally Constrained Representations in Reinforcement Learning0
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)0
Local Search for Policy Iteration in Continuous Control0
Logarithmic Regret for Nonlinear Control0
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning0
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems0
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision0
Composing Complex Skills by Learning Transition Policies with Proximity Reward Induction0
Surrogate Fitness Metrics for Interpretable Reinforcement Learning0
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning0
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off0
Visual tracking brain computer interface0
Compatible Natural Gradient Policy Search0
Marginalized State Distribution Entropy Regularization in Policy Optimization0
Switched-Actuator Systems with Setup Times: Efficient Modeling, MPC, and Application to Hyperthermia Therapy0
Markov Chain Monte Carlo Policy Optimization0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities0
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control0
Massively Scaling Explicit Policy-conditioned Value Functions0
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison0
Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons0
Compactly Restrictable Metric Policy Optimization Problems0
Maximum Entropy Reinforcement Learning with Mixture Policies0
Max-Plus Matching Pursuit for Deterministic Markov Decision Processes0
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning0
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning0
Measuring Progress in Deep Reinforcement Learning Sample Efficiency0
CoMic: Co-Training and Mimicry for Reusable Skills0
You Only Live Once: Single-Life Reinforcement Learning0
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents0
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance0
Meta Attention For Off-Policy Actor-Critic0
All-Action Policy Gradient Methods: A Numerical Integration Approach0
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning0
Meta-Learning for Multi-objective Reinforcement Learning0
Meta-Model-Based Meta-Policy Optimization0
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance0
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision0
Meta Reinforcement Learning with Successor Feature Based Context0
A Game Theoretic Perspective on Model-Based Reinforcement Learning0
Show:102550
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