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Showing 301–350 of 677 papers

TitleStatusHype
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint RelaxationCode0
Simple Emergent Action Representations from Multi-Task Policy Training—0
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based EnvironmentsCode1
Policy Gradient With Serial Markov Chain Reasoning—0
Mind's Eye: Grounded Language Model Reasoning through Simulation—0
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees—0
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian OptimizationCode1
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees—0
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States—0
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies—0
A Computational Model of Learning Flexible Navigation in a Maze by Layout-Conforming Replay of Place Cells—0
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning—0
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations—0
On the Reuse Bias in Off-Policy Reinforcement LearningCode0
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking—0
Entropy Augmented Reinforcement Learning—0
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games—0
A Game-Theoretic Perspective of Generalization in Reinforcement Learning—0
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts—0
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL—0
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain RandomizationCode0
Learning Bipedal Walking On Planned Footsteps For Humanoid RobotsCode3
Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyCode0
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction—0
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments—0
Short-Term Plasticity Neurons Learning to Learn and ForgetCode1
Prompting Decision Transformer for Few-Shot Policy Generalization—0
CGAR: Critic Guided Action Redistribution in Reinforcement LeaningCode0
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming—0
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution EngineCode5
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning—0
Relative Policy-Transition Optimization for Fast Policy Transfer—0
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies—0
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-RiskCode1
Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning—0
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble—0
Multi-Object Grasping in the Plane—0
TaSIL: Taylor Series Imitation LearningCode0
SEREN: Knowing When to Explore and When to Exploit—0
Efficient Reward Poisoning Attacks on Online Deep Reinforcement LearningCode0
Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemCode2
ARLO: A Framework for Automated Reinforcement LearningCode1
Data Valuation for Offline Reinforcement Learning—0
Imitation Learning from Observations under Transition Model DisparityCode0
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells—0
JORLDY: a fully customizable open source framework for reinforcement learningCode2
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization—0
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