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Showing 251–275 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
Order Matters: Agent-by-agent Policy OptimizationCode1
Unlabeled Imperfect Demonstrations in Adversarial Imitation LearningCode1
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
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