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Showing 201–250 of 677 papers

TitleStatusHype
Learning Loss Landscapes in Preference Optimization—0
Scalable Kernel Inverse OptimizationCode0
Solving Minimum-Cost Reach Avoid using Reinforcement Learning—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
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
On the Perturbed States for Transformed Input-robust Reinforcement LearningCode0
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP EnvironmentsCode0
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation—0
Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay—0
Temporal Abstraction in Reinforcement Learning with Offline Data—0
Proximal Policy DistillationCode0
Constrained Intrinsic Motivation for Reinforcement LearningCode0
A Review of Nine Physics Engines for Reinforcement Learning Research—0
ROER: Regularized Optimal Experience ReplayCode0
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents—0
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary ModelCode0
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement LearningCode0
Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment—0
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays—0
Value Improved Actor Critic Algorithms—0
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout AdaptionCode0
A Pontryagin Perspective on Reinforcement Learning—0
Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted RegressionCode0
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model ScalesCode0
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning—0
Variational Delayed Policy OptimizationCode0
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision—0
Pure Planning to Pure Policies and In Between with a Recursive Tree Planner—0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action SpaceCode0
Adaptive Exploration for Data-Efficient General Value Function EvaluationsCode0
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline—0
Hard-Thresholding Meets Evolution Strategies in Reinforcement LearningCode0
Markov flow policy -- deep MC—0
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure—0
Closed Loop Interactive Embodied Reasoning for Robot Manipulation—0
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis—0
DIDA: Denoised Imitation Learning based on Domain Adaptation—0
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