conftrace_

Methods

8,258 papers (12 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

Papers per year

6

1

2

2

16

21

24

16

31

36

44

47

44

37

63

171

350

606

801

920

974

1,144

1,380

1,203

319

'5

'10

'15

'20

'25

Papers (including subtopics)

DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation ACL 2024 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 Differentially Private Reinforcement Learning with Self-Play NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NeurIPS 2024 DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching ICML 2024 DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets CoRL 2024 Diffusion Actor-Critic with Entropy Regulator NeurIPS 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024 Diffusion for World Modeling: Visual Details Matter in Atari NeurIPS 2024 Diffusion Model-Augmented Behavioral Cloning ICML 2024 Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning NeurIPS 2024 Discerning Temporal Difference Learning AAAI 2024 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NeurIPS 2024 Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning ICML 2024 Discovering Temporally-Aware Reinforcement Learning Algorithms ICLR 2024 Discrete Probabilistic Inference as Control in Multi-path Environments UAI 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation NeurIPS 2024 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024