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Showing 376–400 of 677 papers

TitleStatusHype
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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