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

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'25

Papers (including subtopics)

A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024 AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors ICML 2024 Adapting image-based RL policies via predicted rewards L4DC 2024 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Adaptive Accompaniment with ReaLchords ICML 2024 Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning ICML 2024 Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation CoRL 2024 Adaptive Exploration for Data-Efficient General Value Function Evaluations NeurIPS 2024 Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations ICML 2024 Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation ICML 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 Adaptive Language-Guided Abstraction from Contrastive Explanations CoRL 2024 Adaptive Order Q-learning IJCAI 2024 Adaptive Rational Activations to Boost Deep Reinforcement Learning ICLR 2024 Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios L4DC 2024 AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making NeurIPS 2024 A data-driven Riccati equation L4DC 2024 Addressing Signal Delay in Deep Reinforcement Learning ICLR 2024 A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming IJCAI 2024 A Distributional Analogue to the Successor Representation ICML 2024 ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning IJCAI 2024 A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024 A Dual Approach to Imitation Learning from Observations with Offline Datasets CoRL 2024 Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ACL 2024