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 651700 of 1161 papers

TitleStatusHype
Reinforcement Learning with Prototypical RepresentationsCode1
Model-free Policy Learning with Reward GradientsCode1
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingCode1
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning0
Multimodal VAE Active Inference ControllerCode0
Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS systemCode1
Correct-by-construction reach-avoid control of partially observable linear stochastic systemsCode0
Foresee then Evaluate: Decomposing Value Estimation with Latent Future PredictionCode0
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter FreezingCode0
Hamiltonian Policy Optimization0
Revisiting Peng's Q(λ) for Modern Reinforcement Learning0
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision0
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control0
Imitation Learning with Human Eye Gaze via Multi-Objective PredictionCode0
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning0
Uncertainty Estimation Using Riemannian Model~Dynamics for Offline Reinforcement Learning0
Reinforcement Learning with Prototypical RepresentationsCode1
On Proximal Policy Optimization's Heavy-tailed Gradients0
Model-Invariant State Abstractions for Model-Based Reinforcement Learning0
On the Sample Complexity of Stability Constrained Imitation Learning0
Learning Memory-Dependent Continuous Control from Demonstrations0
Q-Value Weighted Regression: Reinforcement Learning with Limited DataCode0
Robust Policy Gradient against Strong Data CorruptionCode0
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning0
Measuring Progress in Deep Reinforcement Learning Sample Efficiency0
Tactical Optimism and Pessimism for Deep Reinforcement LearningCode1
OffCon^3: What is state of the art anyway?Code1
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning0
Robust Reinforcement Learning on State Observations with Learned Optimal AdversaryCode1
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search SpacesCode0
Linear Representation Meta-Reinforcement Learning for Instant Adaptation0
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning0
Reinforcement Learning with Latent FlowCode1
Markov Chain Monte Carlo Policy Optimization0
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity0
Learning Subgoal Representations with Slow Dynamics0
Deep Reinforcement Learning With Adaptive Combined Critics0
TEAC: Intergrating Trust Region and Max Entropy Actor Critic for Continuous ControlCode0
Unsupervised Task Clustering for Multi-Task Reinforcement LearningCode0
Self-Supervised Continuous Control without Policy Gradient0
Unbiased learning with State-Conditioned Rewards in Adversarial Imitation Learning0
Learning Efficient Planning-based Rewards for Imitation Learning0
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study0
Error Controlled Actor-Critic Method to Reinforcement Learning0
Sample efficient Quality Diversity for neural continuous control0
Regularization Matters in Policy Optimization - An Empirical Study on Continuous ControlCode0
Learning Latent Landmarks for Generalizable Planning0
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning0
Offline Policy Optimization with Variance Regularization0
Divide-and-Conquer Monte Carlo Tree Search0
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Benchmark Results

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