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 751800 of 1161 papers

TitleStatusHype
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies0
On Proximal Policy Optimization's Heavy-tailed Gradients0
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies0
On The Fragility of Learned Reward Functions0
Bridging the gap between Markowitz planning and deep reinforcement learning0
Advantage Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning0
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control0
On the Sensitivity of Reward Inference to Misspecified Human Models0
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems0
On the stability of Lipschitz continuous control problems and its application to reinforcement learning0
OPAC: Opportunistic Actor-Critic0
OPEB: Open Physical Environment Benchmark for Artificial Intelligence0
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization0
Optimizing Energy-Efficient Braking Trajectories with Anticipatory Road Data for Automated Vehicles0
Boosting MCTS with Free Energy Minimization0
To the Noise and Back: Diffusion for Shared Autonomy0
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning0
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments0
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications0
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control0
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning0
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies0
Overcoming the Spectral Bias of Neural Value Approximation0
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm0
Adjacency constraint for efficient hierarchical reinforcement learning0
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods0
Towards Characterizing Divergence in Deep Q-Learning0
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States0
Path Integral Networks: End-to-End Differentiable Optimal Control0
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning0
Bi-Level Policy Optimization with Nyström Hypergradients0
Photonic Quantum Policy Learning in OpenAI Gym0
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning0
Biased Estimates of Advantages over Path Ensembles0
Better Exploration with Optimistic Actor-Critic0
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference0
Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal-Logic Tasks0
Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies0
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning0
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning0
Behavior Regularized Offline Reinforcement Learning0
Zeroth-Order Supervised Policy Improvement0
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning0
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning0
Policy-labeled Preference Learning: Is Preference Enough for RLHF?0
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo0
Behavior Priors for Efficient Reinforcement Learning0
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution0
Policy Manifold Search for Improving Diversity-based Neuroevolution0
Policy Optimization as Online Learning with Mediator Feedback0
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