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MuJoCo

Papers

Showing 151175 of 677 papers

TitleStatusHype
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODECode0
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement LearningCode0
Calibrated Model-Based Deep Reinforcement LearningCode0
An Invariant Information Geometric Method for High-Dimensional Online OptimizationCode0
MuJoCo: A physics engine for model-based controlCode0
Bootstrapping the Expressivity with Model-based PlanningCode0
A dynamical clipping approach with task feedback for Proximal Policy OptimizationCode0
On the Expressivity of Neural Networks for Deep Reinforcement LearningCode0
Adaptive Exploration for Data-Efficient General Value Function EvaluationsCode0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
An Empirical Study of Deep Reinforcement Learning in Continuing TasksCode0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated PoliciesCode0
MDP Playground: An Analysis and Debug Testbed for Reinforcement LearningCode0
On the Perturbed States for Transformed Input-robust Reinforcement LearningCode0
Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyCode0
LLMs for sensory-motor control: Combining in-context and iterative learningCode0
Leveraging exploration in off-policy algorithms via normalizing flowsCode0
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsCode0
Bayesian Policy Gradients via Alpha Divergence Dropout InferenceCode0
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement LearningCode0
Learning to Play Cup-and-Ball with Noisy Camera ObservationsCode0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
Balancing Value Underestimation and Overestimation with Realistic Actor-CriticCode0
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