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Showing 301–350 of 677 papers

TitleStatusHype
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture—0
Adapting Double Q-Learning for Continuous Reinforcement Learning—0
Iterative Reachability Estimation for Safe Reinforcement Learning—0
Distributionally Robust Statistical Verification with Imprecise Neural Networks—0
Careful at Estimation and Bold at Exploration—0
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy OptimizationCode0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
Variance Control for Distributional Reinforcement LearningCode0
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning—0
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs—0
Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environmentCode0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Learning non-Markovian Decision-Making from State-only SequencesCode0
CEIL: Generalized Contextual Imitation Learning—0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication—0
Surfer: Progressive Reasoning with World Models for Robotic Manipulation—0
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback—0
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agentsCode0
Mimicking Better by Matching the Approximate Action DistributionCode0
Recurrent Action Transformer with MemoryCode0
Language to Rewards for Robotic Skill Synthesis—0
Robust Reinforcement Learning through Efficient Adversarial Herding—0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive AdvantagesCode0
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL—0
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem—0
Inverse Reinforcement Learning with the Average Reward Criterion—0
OER: Offline Experience Replay for Continual Offline Reinforcement Learning—0
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching—0
Unsupervised Discovery of Continuous Skills on a Sphere—0
Off-Policy Average Reward Actor-Critic with Deterministic Policy SearchCode0
Client Selection for Federated Policy Optimization with Environment HeterogeneityCode0
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models—0
Coagent Networks: Generalized and Scaled—0
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback—0
DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety—0
Explaining RL Decisions with TrajectoriesCode0
Simple Noisy Environment Augmentation for Reinforcement LearningCode0
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning—0
Feudal Graph Reinforcement LearningCode0
Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations—0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
Sample-efficient Adversarial Imitation Learning—0
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint—0
A Strategy-Oriented Bayesian Soft Actor-Critic Model—0
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired SkillsCode0
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control—0
Decision Transformer under Random Frame DroppingCode0
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