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reinforcement learning

4352 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (13587) policy learning (702) markov decision process (790) policy optimization (657) policy gradient (520) deep reinforcement learning (903) multi-agent system (1819) imitation learning (744) regret bound (1926) language model (4599)

Papers

Efficient skill acquisition for insertion tasks in obstructed environments L4DC 2024
On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
An investigation of time reversal symmetry in reinforcement learning L4DC 2024
Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration L4DC 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph AAAI 2024
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024
In vivo learning-based control of microbial populations density in bioreactors L4DC 2024
Tracking object positions in reinforcement learning: A metric for keypoint detection L4DC 2024
Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024
Pointwise-in-time diagnostics for reinforcement learning during training and runtime L4DC 2024
A large deviations perspective on policy gradient algorithms L4DC 2024
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024
Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024
Discerning Temporal Difference Learning AAAI 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Improving Socratic Question Generation using Data Augmentation and Preference Optimization NAACL 2024