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
Relative Entropy Regularized Policy IterationCode0
CompILE: Compositional Imitation Learning and ExecutionCode0
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models0
Simple random search of static linear policies is competitive for reinforcement learningCode0
A Bayesian Approach to Generative Adversarial Imitation Learning0
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision0
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments0
Model Learning for Look-ahead Exploration in Continuous ControlCode0
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation PredictionCode0
Meta-Learning for Multi-objective Reinforcement Learning0
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search0
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning0
Inverse reinforcement learning for video gamesCode0
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms0
PPO-CMA: Proximal Policy Optimization with Covariance Matrix AdaptationCode0
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient MethodsCode0
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
Where Off-Policy Deep Reinforcement Learning Fails0
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings0
Improving Generative Adversarial Imitation Learning with Non-expert Demonstrations0
Success at any cost: value constrained model-free continuous control0
Shrinkage-based Bias-Variance Trade-off for Deep Reinforcement Learning0
Transfer Value or Policy? A Value-centric Framework Towards Transferrable Continuous Reinforcement Learning0
Benchmarking Reinforcement Learning Algorithms on Real-World RobotsCode0
Policy Optimization via Importance SamplingCode0
Sample-Efficient Imitation Learning via Generative Adversarial NetsCode0
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience ReplayCode0
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
Deterministic Policy Gradients With General State Transitions0
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical GuaranteesCode0
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
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
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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
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2DREAMERReturn853Unverified
#ModelMetricClaimedVerifiedStatus
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2MuZero UnpluggedReturn594.3Unverified
#ModelMetricClaimedVerifiedStatus
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2MuZero UnpluggedReturn869.9Unverified
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2PlaNetReturn914Unverified
#ModelMetricClaimedVerifiedStatus
1DrQReturn921Unverified
2PlaNetReturn890Unverified
#ModelMetricClaimedVerifiedStatus
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2MuZero UnpluggedReturn759Unverified
#ModelMetricClaimedVerifiedStatus
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#ModelMetricClaimedVerifiedStatus
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1TRPOScore-61.7Unverified
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