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Showing 151–200 of 677 papers

TitleStatusHype
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture—0
Careful at Estimation and Bold at Exploration—0
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?—0
CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning—0
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells—0
Formal Language Constrained Markov Decision Processes—0
Gaussian Process Policy Optimization—0
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations—0
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning—0
Multiagent Model-based Credit Assignment for Continuous Control—0
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains—0
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)—0
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning—0
An Intelligent Social Learning-based Optimization Strategy for Black-box Robotic Control with Reinforcement Learning—0
Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization—0
A Computational Model of Learning Flexible Navigation in a Maze by Layout-Conforming Replay of Place Cells—0
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation—0
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals—0
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States—0
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning—0
Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots—0
Adaptive N-step Bootstrapping with Off-policy Data—0
Biased Estimates of Advantages over Path Ensembles—0
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients—0
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem—0
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control—0
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration—0
Diverse Imitation Learning via Self-OrganizingGenerative Models—0
Distributionally Robust Statistical Verification with Imprecise Neural Networks—0
Fast Convergence of Softmax Policy Mirror Ascent—0
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments—0
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming—0
Gradientless Descent: High-Dimensional Zeroth-Order Optimization—0
Distributional Decision Transformer for Hindsight Information Matching—0
DisTop: Discovering a Topological representation to learn diverse and rewarding skills—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction—0
Benchmarking the Sim-to-Real Gap in Cloth Manipulation—0
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation—0
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
DIDA: Denoised Imitation Learning based on Domain Adaptation—0
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