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Deep RL

3861 directly classified papers

Papers per year

Papers

The Value of Reward Lookahead in Reinforcement Learning NIPS 2024
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NIPS 2024
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SEMEVAL 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
Sample-efficient Adversarial Imitation Learning JMLR 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations NIPS 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NIPS 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024
An Analysis of Quantile Temporal-Difference Learning JMLR 2024
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NIPS 2024
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024
Deep Reinforcement Learning-based Dialogue Policy with Graph Convolutional Q-network COLING 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Stress-Testing Capability Elicitation With Password-Locked Models NIPS 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024
Improving Language Model Reasoning with Self-motivated Learning COLING 2024
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NIPS 2024
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024