SOTAVerified

MuJoCo

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 677 papers

TitleStatusHype
MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBenchCode5
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution EngineCode5
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient ManipulationCode5
Enhancing Efficiency of Safe Reinforcement Learning via Sample ManipulationCode5
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real TransferCode5
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning LibraryCode3
Learning Bipedal Walking On Planned Footsteps For Humanoid RobotsCode3
Tianshou: a Highly Modularized Deep Reinforcement Learning LibraryCode3
Streaming Deep Reinforcement Learning Finally WorksCode3
JORLDY: a fully customizable open source framework for reinforcement learningCode2
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy OptimizationCode2
Diffusion Actor-Critic with Entropy RegulatorCode2
Text2Reward: Reward Shaping with Language Models for Reinforcement LearningCode2
robosuite: A Modular Simulation Framework and Benchmark for Robot LearningCode2
Maximum Entropy Heterogeneous-Agent Reinforcement LearningCode2
Simple Policy OptimizationCode2
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body SimulationCode2
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement LearningCode2
Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemCode2
Joint action loss for proximal policy optimizationCode1
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy OptimizationCode1
Imitation Learning with Sinkhorn DistancesCode1
FORK: A Forward-Looking Actor For Model-Free Reinforcement LearningCode1
FM-TS: Flow Matching for Time Series GenerationCode1
Generalizable Episodic Memory for Deep Reinforcement LearningCode1
Evolution Strategies as a Scalable Alternative to Reinforcement LearningCode1
An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable SimulationCode1
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics MixtureCode1
Improving Sample Efficiency in Model-Free Reinforcement Learning from ImagesCode1
Fast Adaptation via Policy-Dynamics Value FunctionsCode1
Generalized Decision Transformer for Offline Hindsight Information MatchingCode1
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningCode1
Doubly Mild Generalization for Offline Reinforcement LearningCode1
Delay-Aware Model-Based Reinforcement Learning for Continuous ControlCode1
EDGE: Explaining Deep Reinforcement Learning PoliciesCode1
Deconstructing the Inductive Biases of Hamiltonian Neural NetworksCode1
Converting Biomechanical Models from OpenSim to MuJoCoCode1
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement LearningCode1
DART: Noise Injection for Robust Imitation LearningCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Deep Reinforcement Learning with Gradient Eligibility TracesCode1
DeepMind Control SuiteCode1
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement LearningCode1
A Game-Theoretic Approach to Multi-Agent Trust Region OptimizationCode1
Conditioning Sparse Variational Gaussian Processes for Online Decision-makingCode1
A Bayesian Approach to Robust Inverse Reinforcement LearningCode1
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the PastCode1
Show:102550
← PrevPage 1 of 14Next →

No leaderboard results yet.