Reinforcement Learning
3,118 papers
Papers per year
1
11
18
24
14
22
28
34
28
24
17
23
79
183
257
291
347
339
336
495
464
83
'10
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Papers
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
ICML 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
ICML 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
ICML 2023
Thompson Sampling with Diffusion Generative Prior
ICML 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
COLT 2023
Towards a better understanding of representation dynamics under TD-learning
ICML 2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
ACL 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Towards Understanding and Improving GFlowNet Training
ICML 2023
TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning
EMNLP 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback
EMNLP 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning
ICML 2023
Tuna: Instruction Tuning using Feedback from Large Language Models
EMNLP 2023
Tuning Computer Vision Models With Task Rewards
ICML 2023
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
CVPR 2023
Uniformly Conservative Exploration in Reinforcement Learning
AISTATS 2023
Universal Morphology Control via Contextual Modulation
ICML 2023
User-Oriented Robust Reinforcement Learning
AAAI 2023
VA-learning as a more efficient alternative to Q-learning
ICML 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency
COLT 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
ICLR 2023
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation
COLT 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
NeurIPS 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
ICML 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
AAAI 2023