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Deep RL

3861 directly classified papers

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Papers

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NIPS 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NIPS 2024
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024
Learning to Assist Humans without Inferring Rewards NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NIPS 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NIPS 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NIPS 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Text-Aware Diffusion for Policy Learning NIPS 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024
Learning World Models for Unconstrained Goal Navigation NIPS 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
Goal-Conditioned On-Policy Reinforcement Learning NIPS 2024
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024