conftrace_
← Topics

Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
'05
'10
'15
'20
'25

Papers (including subtopics)

Weakly Coupled Deep Q-Networks NIPS 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NIPS 2023
Adaptive Online Replanning with Diffusion Models NIPS 2023
Domain Adaptive Imitation Learning with Visual Observation NIPS 2023
RoboHive: A Unified Framework for Robot Learning NIPS 2023
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NIPS 2023
KuaiSim: A Comprehensive Simulator for Recommender Systems NIPS 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning NIPS 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies NIPS 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NIPS 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NIPS 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models NIPS 2023
Synthetic Experience Replay NIPS 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NIPS 2023
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NIPS 2023
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NIPS 2023
Structured State Space Models for In-Context Reinforcement Learning NIPS 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NIPS 2023
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NIPS 2023
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games NIPS 2023
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 2023
Imitation Learning from Vague Feedback NIPS 2023
Creating Multi-Level Skill Hierarchies in Reinforcement Learning NIPS 2023
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization NIPS 2023