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
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via DiscretisationCode1
IQ-Learn: Inverse soft-Q Learning for ImitationCode1
Controlling the Rain: From Removal to Rendering0
Strategically-timed State-Observation Attacks on Deep Reinforcement Learning Agents0
Towards Safe Reinforcement Learning via Constraining Conditional Value at RiskCode1
Towards Automatic Actor-Critic Solutions to Continuous ControlCode1
Solving Continuous Control with Episodic MemoryCode1
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation0
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control0
Learning of feature points without additional supervision improves reinforcement learning from imagesCode0
Offline Reinforcement Learning as Anti-Exploration0
Keyframe-Focused Visual Imitation Learning0
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning0
TempoRL: Learning When to ActCode1
Bayesian Bellman Operators0
Learning Markov State Abstractions for Deep Reinforcement LearningCode1
Dynamic Sparse Training for Deep Reinforcement LearningCode1
Average-Reward Reinforcement Learning with Trust Region Methods0
Efficient Continuous Control with Double Actors and Regularized CriticsCode1
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great CoverageCode1
What Matters for Adversarial Imitation Learning?0
Active Hierarchical Exploration with Stable Subgoal Representation LearningCode0
A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase0
Hyperparameter Selection for Imitation Learning0
Robust Value Iteration for Continuous Control TasksCode1
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial CoverageCode1
Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward ModelCode0
Context-Based Soft Actor Critic for Environments with Non-stationary DynamicsCode0
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions0
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization0
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution0
Reward function shape exploration in adversarial imitation learning: an empirical study0
Safe Continuous Control with Constrained Model-Based Policy OptimizationCode0
Learning and Planning in Complex Action Spaces0
TAAC: Temporally Abstract Actor-Critic for Continuous ControlCode1
Online and Offline Reinforcement Learning by Planning with a Learned ModelCode1
Muesli: Combining Improvements in Policy OptimizationCode1
GEM: Group Enhanced Model for Learning Dynamical Control Systems0
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning0
Benchmarks for Deep Off-Policy EvaluationCode1
Character Controllers Using Motion VAEsCode1
Hamiltonian Policy Optimization in Reinforcement Learning0
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement LearningCode0
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method0
Maximum Entropy Reinforcement Learning with Mixture Policies0
Solving Compositional Reinforcement Learning Problems via Task ReductionCode1
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual InformationCode0
Generalizable Episodic Memory for Deep Reinforcement LearningCode1
A Quadratic Actor Network for Model-Free Reinforcement LearningCode0
Learning State Representations via Temporal Cycle-Consistency Constraint in Model-Based Reinforcement Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
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2TD3 gSDEReturn3,267Unverified
3TD3Return2,865Unverified
4SACReturn2,859Unverified
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6A2C gSDEReturn2,560Unverified
7PPOReturn2,160Unverified
8A2CReturn1,967Unverified
#ModelMetricClaimedVerifiedStatus
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2SAC gSDEReturn2,850Unverified
3PPO + gSDEReturn2,760Unverified
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5TD3 gSDEReturn2,578Unverified
6PPOReturn2,254Unverified
7A2C + gSDEReturn2,028Unverified
8A2CReturn1,652Unverified
#ModelMetricClaimedVerifiedStatus
1SAC gSDEReturn2,646Unverified
2PPO gSDEReturn2,508Unverified
3SACReturn2,477Unverified
4TD3Return2,470Unverified
5TD3 gSDEReturn2,353Unverified
6PPOReturn1,622Unverified
7A2CReturn1,559Unverified
8A2C gSDEReturn1,448Unverified
#ModelMetricClaimedVerifiedStatus
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2SACReturn2,215Unverified
3TD3Return2,106Unverified
4TD3 gSDEReturn1,989Unverified
5PPO gSDEReturn1,776Unverified
6PPOReturn1,238Unverified
7A2C gSDEReturn694Unverified
8A2CReturn443Unverified
#ModelMetricClaimedVerifiedStatus
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2DREAMERReturn853Unverified
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