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)

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning ICLR 2024 SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment CoRL 2024 Skill or Luck? Return Decomposition via Advantage Functions ICLR 2024 Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks ICML 2024 SLR: Learning Quadruped Locomotion without Privileged Information CoRL 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation UAI 2024 SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces AAAI 2024 Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration ICML 2024 Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach ICML 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024 Solving Long-run Average Reward Robust MDPs via Stochastic Games IJCAI 2024 Solving Minimum-Cost Reach Avoid using Reinforcement Learning NeurIPS 2024 Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024 Solving Offline Reinforcement Learning with Decision Tree Regression CoRL 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation AAAI 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Speculative Monte-Carlo Tree Search NeurIPS 2024 SpOiLer: Offline reinforcement learning using scaled penalties L4DC 2024 SPO: Sequential Monte Carlo Policy Optimisation NeurIPS 2024 Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms ICML 2024 Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos AAAI 2024 Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process ICML 2024