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 9511000 of 1161 papers

TitleStatusHype
Neural Simplex Architecture0
Learning Stabilizable Nonlinear Dynamics with Contraction-Based RegularizationCode0
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning0
Imitation-Projected Programmatic Reinforcement Learning0
On-Policy Robot Imitation Learning from a Converging Supervisor0
On Inductive Biases in Deep Reinforcement Learning0
Co-training for Policy LearningCode0
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable ModelCode0
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control0
Policy Optimization with Stochastic Mirror Descent0
Uncertainty-aware Model-based Policy Optimization0
Learning Belief Representations for Imitation Learning in POMDPsCode0
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction0
Max-Plus Matching Pursuit for Deterministic Markov Decision Processes0
Experience Replay Optimization0
Reward Prediction Error as an Exploration Objective in Deep RL0
Unsupervised Learning of Object Structure and Dynamics from Videos0
Robust Reinforcement Learning for Continuous Control with Model Misspecification0
Conditioning of Reinforcement Learning Agents and its Policy Regularization Application0
Clustered Reinforcement Learning0
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm0
Stabilizing Off-Policy Q-Learning via Bootstrapping Error ReductionCode0
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator0
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction0
Policy Search by Target Distribution Learning for Continuous Control0
Distributional Policy Optimization: An Alternative Approach for Continuous ControlCode1
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional PoliciesCode0
Combine PPO with NES to Improve Exploration0
Recurrent Value Functions0
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven ExplorationCode0
Evolving Rewards to Automate Reinforcement Learning0
Leveraging exploration in off-policy algorithms via normalizing flowsCode0
Meta reinforcement learning as task inferenceCode0
Trajectory-Based Off-Policy Deep Reinforcement LearningCode0
Control Regularization for Reduced Variance Reinforcement LearningCode0
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning0
Collaborative Evolutionary Reinforcement LearningCode0
Sample Efficient Imitation Learning for Continuous Control0
Trajectory VAE for multi-modal imitation0
Composing Complex Skills by Learning Transition Policies with Proximity Reward Induction0
Probabilistic Planning with Sequential Monte Carlo methods0
Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning FrameworkCode0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning0
Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks0
Energy-Based Continuous Inverse Optimal Control0
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL0
Guided Meta-Policy Search0
Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning0
Autoregressive Policies for Continuous Control Deep Reinforcement LearningCode0
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control TasksCode0
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Benchmark Results

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3TD3Return2,865Unverified
4SACReturn2,859Unverified
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8A2CReturn1,652Unverified
#ModelMetricClaimedVerifiedStatus
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3SACReturn2,477Unverified
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5TD3 gSDEReturn2,353Unverified
6PPOReturn1,622Unverified
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8A2CReturn443Unverified
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