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Showing 226–250 of 677 papers

TitleStatusHype
Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control—0
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study—0
A Tractable Inference Perspective of Offline RL—0
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture—0
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator—0
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback—0
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback—0
Fast Convergence of Softmax Policy Mirror Ascent—0
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control—0
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning—0
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments—0
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming—0
Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization—0
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation—0
DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety—0
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals—0
Bayesian Distributional Policy Gradients—0
Formal Language Constrained Markov Decision Processes—0
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility—0
From proprioception to long-horizon planning in novel environments: A hierarchical RL model—0
Gaussian Process Policy Optimization—0
Hamiltonian Policy Optimization—0
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