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Showing 251–300 of 677 papers

TitleStatusHype
Explaining RL Decisions with TrajectoriesCode0
Simple Noisy Environment Augmentation for Reinforcement LearningCode0
Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RLCode1
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning—0
Feudal Graph Reinforcement LearningCode0
Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations—0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
Sample-efficient Adversarial Imitation Learning—0
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint—0
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired SkillsCode0
A Strategy-Oriented Bayesian Soft Actor-Critic Model—0
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control—0
Decision Transformer under Random Frame DroppingCode0
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting—0
Meta-Reinforcement Learning via Exploratory Task Clustering—0
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningCode1
Unlabeled Imperfect Demonstrations in Adversarial Imitation LearningCode1
Order Matters: Agent-by-agent Policy OptimizationCode1
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy OptimizationCode0
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsCode0
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersCode1
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)—0
Neural Episodic Control with State Abstraction—0
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation—0
Partial advantage estimator for proximal policy optimizationCode1
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over DropoutCode0
Joint action loss for proximal policy optimizationCode1
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework—0
Genetic Imitation Learning by Reward Extrapolation—0
Contextual Conservative Q-Learning for Offline Reinforcement Learning—0
Pontryagin Optimal Control via Neural NetworksCode0
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces—0
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling—0
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks—0
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble—0
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation—0
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed DatasetsCode0
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking—0
Continuous Neural Algorithmic Planners—0
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning—0
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement LearningCode0
Contextual Transformer for Offline Meta Reinforcement Learning—0
Out-of-Dynamics Imitation Learning from Multimodal DemonstrationsCode0
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling—0
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model MisspecificationCode1
Reward Shaping Using Convolutional Neural Network—0
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games—0
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables—0
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