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 10511100 of 1161 papers

TitleStatusHype
PPO-CMA: Proximal Policy Optimization with Covariance Matrix AdaptationCode0
EMI: Exploration with Mutual InformationCode0
Near-Optimal Representation Learning for Hierarchical Reinforcement LearningCode0
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information FlowCode0
Transfer Value or Policy? A Value-centric Framework Towards Transferrable Continuous Reinforcement Learning0
Shrinkage-based Bias-Variance Trade-off for Deep Reinforcement Learning0
Improving Generative Adversarial Imitation Learning with Non-expert Demonstrations0
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings0
Where Off-Policy Deep Reinforcement Learning Fails0
Success at any cost: value constrained model-free continuous control0
Benchmarking Reinforcement Learning Algorithms on Real-World RobotsCode0
Policy Optimization via Importance SamplingCode0
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience ReplayCode0
Sample-Efficient Imitation Learning via Generative Adversarial NetsCode0
Structured Neural Network Dynamics for Model-based Control0
Learning Actionable Representations from Visual Observations0
Learning Stabilizable Dynamical Systems via Control Contraction Metrics0
Doubly Stochastic Adversarial Autoencoder0
General Value Function Networks0
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical GuaranteesCode0
Deterministic Policy Gradients With General State Transitions0
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion0
Learning to Explore via Meta-Policy Gradient0
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse RewardsCode0
A Tour of Reinforcement Learning: The View from Continuous ControlCode0
Learning Policy Representations in Multiagent Systems0
BaRC: Backward Reachability Curriculum for Robotic Reinforcement LearningCode0
Maximum a Posteriori Policy OptimisationCode1
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with ApplicationsCode0
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition0
Dual Policy Iteration0
Fingerprint Policy Optimisation for Robust Reinforcement Learning0
Learning Self-Imitating Diverse Policies0
Evolution-Guided Policy Gradient in Reinforcement LearningCode0
Policy Optimization with Second-Order Advantage InformationCode0
Distributed Distributional Deterministic Policy GradientsCode0
Model-Free Linear Quadratic Control via Reduction to Expert Prediction0
Information Maximizing Exploration with a Latent Dynamics Model0
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement LearningCode1
Simple random search provides a competitive approach to reinforcement learningCode1
Smoothed Action Value Functions for Learning Gaussian Policies0
Model-Ensemble Trust-Region Policy OptimizationCode0
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning0
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for ResearchCode0
Addressing Function Approximation Error in Actor-Critic MethodsCode1
Temporal Difference Models: Model-Free Deep RL for Model-Based Control0
Clipped Action Policy GradientCode0
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control0
Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning0
Multi-task Learning for Continuous Control0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAC gSDEReturn3,459Unverified
2TD3 gSDEReturn3,267Unverified
3TD3Return2,865Unverified
4SACReturn2,859Unverified
5PPO gSDEReturn2,587Unverified
6A2C gSDEReturn2,560Unverified
7PPOReturn2,160Unverified
8A2CReturn1,967Unverified
#ModelMetricClaimedVerifiedStatus
1SACReturn2,883Unverified
2SAC gSDEReturn2,850Unverified
3PPO + gSDEReturn2,760Unverified
4TD3Return2,687Unverified
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
1SAC gSDEReturn2,341Unverified
2SACReturn2,215Unverified
3TD3Return2,106Unverified
4TD3 gSDEReturn1,989Unverified
5PPO gSDEReturn1,776Unverified
6PPOReturn1,238Unverified
7A2C gSDEReturn694Unverified
8A2CReturn443Unverified
#ModelMetricClaimedVerifiedStatus
1DreamerV1Return800Unverified
2SLACReturn700Unverified
3DrQReturn660Unverified
4PlaNetReturn650Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn998.14Unverified
2DREAMERReturn853Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn868.87Unverified
2MuZero UnpluggedReturn594.3Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn914.39Unverified
2MuZero UnpluggedReturn869.9Unverified
#ModelMetricClaimedVerifiedStatus
1DrQReturn963Unverified
2PlaNetReturn914Unverified
#ModelMetricClaimedVerifiedStatus
1DrQReturn921Unverified
2PlaNetReturn890Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn963.07Unverified
2MuZero UnpluggedReturn759Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn987.79Unverified
2MuZero UnpluggedReturn887.2Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn975.46Unverified
2MuZero UnpluggedReturn949.5Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore1,353.8Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-326Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-83.3Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-149.6Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn417.52Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-170.9Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore730.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-0.4Unverified
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1TRPOScore0Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn977.38Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore769Unverified
#ModelMetricClaimedVerifiedStatus
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#ModelMetricClaimedVerifiedStatus
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#ModelMetricClaimedVerifiedStatus
1TRPOScore960.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore606.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore980.3Unverified
#ModelMetricClaimedVerifiedStatus
1MACScore178.3Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore582Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore841Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn846.91Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore299Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore518Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore4,412.4Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn986.38Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore767Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore926Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn972.53Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn681.6Unverified
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1TRPOScore287Unverified
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1TRPOScore1,914Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore1,183.3Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn528.24Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn926.5Unverified
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1MuZero UnpluggedReturn643.1Unverified
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1TRPOScore247.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore4.5Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore10.4Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore14.1Unverified
#ModelMetricClaimedVerifiedStatus
1MACScore163.5Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn659.2Unverified
#ModelMetricClaimedVerifiedStatus
1MuZero UnpluggedReturn556Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-61.7Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-64.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-60.2Unverified
#ModelMetricClaimedVerifiedStatus
1TRPOScore-61.6Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn837.76Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn923.54Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn933.77Unverified
#ModelMetricClaimedVerifiedStatus
1SMuZeroReturn982.26Unverified
#ModelMetricClaimedVerifiedStatus
1CURLScore538Unverified
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1CURLScore929Unverified
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