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Showing 51–100 of 677 papers

TitleStatusHype
On the Design of Safe Continual RL Methods for Control of Nonlinear SystemsCode0
CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning—0
Maximum Entropy Reinforcement Learning with Diffusion PolicyCode1
A Unifying Framework for Causal Imitation Learning with Hidden Confounders—0
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution TasksCode0
IRIS: An Immersive Robot Interaction System—0
On Rollouts in Model-Based Reinforcement LearningCode0
Fat-to-Thin Policy Optimization: Offline RL with Sparse PoliciesCode0
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline DataCode0
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments—0
An Empirical Study of Deep Reinforcement Learning in Continuing TasksCode0
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks—0
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning—0
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement LearningCode0
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control TasksCode0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors—0
Inverse Delayed Reinforcement Learning—0
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance—0
Fast Convergence of Softmax Policy Mirror Ascent—0
Doubly Mild Generalization for Offline Reinforcement LearningCode1
FM-TS: Flow Matching for Time Series GenerationCode1
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems—0
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration—0
Learning Loss Landscapes in Preference Optimization—0
Scalable Kernel Inverse OptimizationCode0
Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone ConnectivityCode1
Solving Minimum-Cost Reach Avoid using Reinforcement Learning—0
Learning Successor Features the Simple WayCode1
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Streaming Deep Reinforcement Learning Finally WorksCode3
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximationsCode1
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningCode1
Neuroplastic Expansion in Deep Reinforcement Learning—0
Quality Diversity Imitation Learning—0
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling—0
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
Learning to enhance multi-legged robot on rugged landscapes—0
Latent Space Energy-based Neural ODEs—0
Simultaneous Training of First- and Second-Order Optimizers in Population-Based Reinforcement Learning—0
The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective—0
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning—0
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization—0
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning—0
MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBenchCode5
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