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)

Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SemEval 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning CoRL 2024 Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays ICML 2024 Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NeurIPS 2024 Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024 Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024 Breadth-First Exploration on Adaptive Grid for Reinforcement Learning ICML 2024 Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents ICML 2024 Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024 Bridging Environments and Language with Rendering Functions and Vision-Language Models ICML 2024 Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning CoRL 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective CoRL 2024 Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel ICML 2024 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024 Building Socially-Equitable Public Models ICML 2024 By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning IJCAI 2024 CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization L4DC 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024 Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024 Carbon Market Simulation with Adaptive Mechanism Design IJCAI 2024 Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning CVPR 2024