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Showing 101–150 of 677 papers

TitleStatusHype
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
Proximal Policy DistillationCode0
Temporal Abstraction in Reinforcement Learning with Offline Data—0
LLM-Empowered State Representation for Reinforcement LearningCode1
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement LearningCode1
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
RRLS : Robust Reinforcement Learning SuiteCode1
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement LearningCode0
Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment—0
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement LearningCode1
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays—0
Value Improved Actor Critic Algorithms—0
Enhancing Efficiency of Safe Reinforcement Learning via Sample ManipulationCode5
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout AdaptionCode0
Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted RegressionCode0
A Pontryagin Perspective on Reinforcement Learning—0
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model ScalesCode0
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement LearningCode2
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy OptimizationCode2
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning—0
Diffusion Actor-Critic with Entropy RegulatorCode2
Variational Delayed Policy OptimizationCode0
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing FlowCode1
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
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient ManipulationCode5
S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor CriticCode1
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure—0
Markov flow policy -- deep MC—0
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPOCode1
UCB-driven Utility Function Search for Multi-objective Reinforcement LearningCode1
Closed Loop Interactive Embodied Reasoning for Robot Manipulation—0
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis—0
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real TransferCode5
DIDA: Denoised Imitation Learning based on Domain Adaptation—0
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process—0
Robust Model Based Reinforcement Learning Using L_1 Adaptive Control—0
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization—0
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