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Showing 251–300 of 677 papers

TitleStatusHype
P3O: Policy-on Policy-off Policy OptimizationCode0
Context-Based Soft Actor Critic for Environments with Non-stationary DynamicsCode0
Weak Human Preference Supervision For Deep Reinforcement LearningCode0
Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted RegressionCode0
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning ApproachCode0
Constrained Intrinsic Motivation for Reinforcement LearningCode0
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex EnvironmentsCode0
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary RewardsCode0
MDP Playground: An Analysis and Debug Testbed for Reinforcement LearningCode0
Locally Persistent Exploration in Continuous Control Tasks with Sparse RewardsCode0
LLMs for sensory-motor control: Combining in-context and iterative learningCode0
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsCode0
Lyapunov-based Safe Policy Optimization for Continuous ControlCode0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
Hard-Thresholding Meets Evolution Strategies in Reinforcement LearningCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Handling Delay in Real-Time Reinforcement LearningCode0
Learning What To Do by Simulating the PastCode0
Leveraging exploration in off-policy algorithms via normalizing flowsCode0
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement LearningCode0
Learning non-Markovian Decision-Making from State-only SequencesCode0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Learning to Play Cup-and-Ball with Noisy Camera ObservationsCode0
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy OptimizationCode0
Learning Calibratable Policies using Programmatic Style-ConsistencyCode0
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent CooperationCode0
Action Robust Reinforcement Learning and Applications in Continuous ControlCode0
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction EstimationCode0
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement LearningCode0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
Language as an Abstraction for Hierarchical Deep Reinforcement LearningCode0
Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyCode0
Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy GradientsCode0
Generalized Maximum Entropy Reinforcement Learning via Reward Shaping—0
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials—0
Coagent Networks: Generalized and Scaled—0
Gaussian Process Policy Optimization—0
Closed Loop Interactive Embodied Reasoning for Robot Manipulation—0
From proprioception to long-horizon planning in novel environments: A hierarchical RL model—0
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility—0
A Pragmatic Look at Deep Imitation Learning—0
Addressing Distribution Shift in Online Reinforcement Learning with Offline Datasets—0
Formal Language Constrained Markov Decision Processes—0
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals—0
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels—0
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation—0
Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization—0
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming—0
CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric—0
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