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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

I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives AAAI 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NIPS 2024
Efficient Reinforcement Learning by Discovering Neural Pathways NIPS 2024
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024
QGFN: Controllable Greediness with Action Values NIPS 2024
Dynamic Knowledge Injection for AIXI Agents AAAI 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents IJCAI 2024
An Interactive Navigation Method with Effect-oriented Affordance CVPR 2024
Policy Mirror Descent with Lookahead NIPS 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction COLING 2024
Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024
Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024