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)

Oracle-Efficient Reinforcement Learning for Max Value Ensembles NeurIPS 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NeurIPS 2024 Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning ICML 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024 PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024 PAE: Reinforcement Learning from External Knowledge for Efficient Exploration ICLR 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Parameterized Projected Bellman Operator AAAI 2024 Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation IJCAI 2024 Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract) AAAI 2024 Pausing Policy Learning in Non-stationary Reinforcement Learning ICML 2024 PcLast: Discovering Plannable Continuous Latent States ICML 2024 PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024 Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024 Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024 Periodic agent-state based Q-learning for POMDPs NeurIPS 2024 Personalized Reinforcement Learning with a Budget of Policies AAAI 2024 Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning ICML 2024 Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning ICLR 2024 Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024 PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations CoRL 2024 Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning ICLR 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024