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MuJoCo

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Showing 151–200 of 677 papers

TitleStatusHype
Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy GradientsCode0
Adaptive trajectory-constrained exploration strategy for deep reinforcement learningCode0
A novel DDPG method with prioritized experience replayCode0
Out-of-Dynamics Imitation Learning from Multimodal DemonstrationsCode0
Calibrated Model-Based Deep Reinforcement LearningCode0
On the Reuse Bias in Off-Policy Reinforcement LearningCode0
An Invariant Information Geometric Method for High-Dimensional Online OptimizationCode0
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
On the Perturbed States for Transformed Input-robust Reinforcement LearningCode0
ORRB -- OpenAI Remote Rendering BackendCode0
On Learning Intrinsic Rewards for Policy Gradient MethodsCode0
Adaptive Exploration for Data-Efficient General Value Function EvaluationsCode0
On Rollouts in Model-Based Reinforcement LearningCode0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
Offline Reinforcement Learning via Inverse OptimizationCode0
Off-Policy Average Reward Actor-Critic with Deterministic Policy SearchCode0
On the Design of Safe Continual RL Methods for Control of Nonlinear SystemsCode0
Novel Policy Seeking with Constrained OptimizationCode0
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODECode0
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement LearningCode0
NerveNet: Learning Structured Policy with Graph Neural NetworksCode0
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-TuningCode0
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement LearningCode0
Recurrent Action Transformer with MemoryCode0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
Directly Forecasting Belief for Reinforcement Learning with DelaysCode0
MDP Playground: An Analysis and Debug Testbed for Reinforcement LearningCode0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
MuJoCo: A physics engine for model-based controlCode0
Bayesian Policy Gradients via Alpha Divergence Dropout InferenceCode0
Lyapunov-based Safe Policy Optimization for Continuous ControlCode0
Locally Persistent Exploration in Continuous Control Tasks with Sparse RewardsCode0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
LLMs for sensory-motor control: Combining in-context and iterative learningCode0
Balancing Value Underestimation and Overestimation with Realistic Actor-CriticCode0
Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyCode0
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsCode0
Learning to Play Cup-and-Ball with Noisy Camera ObservationsCode0
Learning What To Do by Simulating the PastCode0
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement LearningCode0
Decision Transformer under Random Frame DroppingCode0
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary DynamicsCode0
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement LearningCode0
Leveraging exploration in off-policy algorithms via normalizing flowsCode0
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement LearningCode0
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated PoliciesCode0
An Empirical Study of Deep Reinforcement Learning in Continuing TasksCode0
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent CooperationCode0
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