SOTAVerified

MuJoCo

Papers

Showing 101150 of 677 papers

TitleStatusHype
Learning Invariant Representations for Reinforcement Learning without ReconstructionCode1
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-RiskCode1
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the PastCode1
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience ReplayCode1
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven ExplorationCode1
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPOCode1
Value Gradient weighted Model-Based Reinforcement LearningCode1
Learning Successor Features the Simple WayCode1
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with PybulletCode1
Vision-Language Models are Zero-Shot Reward Models for Reinforcement LearningCode1
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian OptimizationCode1
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and ExplorationCode1
Model Tensor PlanningCode1
LLM-Empowered State Representation for Reinforcement LearningCode1
Multi-Agent Constrained Policy OptimisationCode1
Converting Biomechanical Models from OpenSim to MuJoCoCode1
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value RegularizationCode1
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement LearningCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model MisspecificationCode1
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation ErrorsCode1
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing FlowCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
Conservative Offline Distributional Reinforcement LearningCode1
Model-free Policy Learning with Reward GradientsCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Offline Model-based Adaptable Policy LearningCode1
Reset-Free Lifelong Learning with Skill-Space PlanningCode1
State-only Imitation with Transition Dynamics MismatchCode1
Doubly Mild Generalization for Offline Reinforcement LearningCode1
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor RepresentationCode1
Collaborative Evolutionary Reinforcement LearningCode0
A Quadratic Actor Network for Model-Free Reinforcement LearningCode0
MDP Playground: An Analysis and Debug Testbed for Reinforcement LearningCode0
Client Selection for Federated Policy Optimization with Environment HeterogeneityCode0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
Application of linear regression method to the deep reinforcement learning in continuous action casesCode0
ADDQ: Adaptive Distributional Double Q-LearningCode0
CGAR: Critic Guided Action Redistribution in Reinforcement LeaningCode0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agentsCode0
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement LearningCode0
Locally Persistent Exploration in Continuous Control Tasks with Sparse RewardsCode0
MOBODY: Model Based Off-Dynamics Offline Reinforcement LearningCode0
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsCode0
Lyapunov-based Safe Policy Optimization for Continuous ControlCode0
Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyCode0
Adaptive trajectory-constrained exploration strategy for deep reinforcement learningCode0
A novel DDPG method with prioritized experience replayCode0
LLMs for sensory-motor control: Combining in-context and iterative learningCode0
Show:102550
← PrevPage 3 of 14Next →

No leaderboard results yet.