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Showing 351–400 of 677 papers

TitleStatusHype
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
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy OptimizationCode0
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsCode0
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)—0
Neural Episodic Control with State Abstraction—0
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over DropoutCode0
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation—0
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
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
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation—0
Simple Emergent Action Representations from Multi-Task Policy Training—0
Policy Gradient With Serial Markov Chain Reasoning—0
Mind's Eye: Grounded Language Model Reasoning through Simulation—0
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees—0
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees—0
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States—0
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies—0
A Computational Model of Learning Flexible Navigation in a Maze by Layout-Conforming Replay of Place Cells—0
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations—0
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning—0
On the Reuse Bias in Off-Policy Reinforcement LearningCode0
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking—0
Entropy Augmented Reinforcement Learning—0
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games—0
A Game-Theoretic Perspective of Generalization in Reinforcement Learning—0
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts—0
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL—0
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain RandomizationCode0
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