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
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
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning0
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
Markov Chain Monte Carlo Policy Optimization0
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity0
Sample efficient Quality Diversity for neural continuous control0
Offline Policy Optimization with Variance Regularization0
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning0
Self-Supervised Continuous Control without Policy Gradient0
TEAC: Intergrating Trust Region and Max Entropy Actor Critic for Continuous ControlCode0
Divide-and-Conquer Monte Carlo Tree Search0
Factored Action Spaces in Deep Reinforcement Learning0
Robust Offline Reinforcement Learning from Low-Quality Data0
Explicit Pareto Front Optimization for Constrained Reinforcement Learning0
Unbiased learning with State-Conditioned Rewards in Adversarial Imitation Learning0
Unsupervised Task Clustering for Multi-Task Reinforcement LearningCode0
Error Controlled Actor-Critic Method to Reinforcement Learning0
Learning Subgoal Representations with Slow Dynamics0
Deep Reinforcement Learning With Adaptive Combined Critics0
Regularization Matters in Policy Optimization - An Empirical Study on Continuous ControlCode0
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study0
Learning Efficient Planning-based Rewards for Imitation Learning0
Deep Coherent Exploration For Continuous Control0
Learning Latent Landmarks for Generalizable Planning0
Locally Persistent Exploration in Continuous Control Tasks with Sparse RewardsCode0
Policy Optimization as Online Learning with Mediator Feedback0
Policy Manifold Search for Improving Diversity-based Neuroevolution0
OPAC: Opportunistic Actor-Critic0
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation0
Proximal Policy Optimization Smoothed Algorithm0
Reinforcement Learning for Control with Multiple Frequencies0
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems0
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method0
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUpCode0
Offline Learning from Demonstrations and Unlabeled Experience0
Episodic Self-Imitation Learning with HindsightCode0
C-Learning: Horizon-Aware Cumulative Accessibility EstimationCode0
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System0
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning0
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Benchmark Results

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