Reinforcement Learning
1,698 papers
Papers per year
4
9
13
6
12
9
17
11
14
7
7
22
53
81
103
140
170
205
235
204
376
'10
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Papers
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
ICLR 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
CVPR 2023
Truthful Self-Play
ICLR 2023
Tuning Computer Vision Models With Task Rewards
ICML 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
NeurIPS 2023
Understanding and Adopting Rational Behavior by Bellman Score Estimation
ICLR 2023
Unsupervised Behavior Extraction via Random Intent Priors
NeurIPS 2023
User-Interactive Offline Reinforcement Learning
ICLR 2023
User Simulator Assisted Open-ended Conversational Recommendation System
ACL 2023
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
AAAI 2023
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
ICLR 2023
Visual Imitation Learning with Patch Rewards
ICLR 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
AAAI 2023
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
ICLR 2023
Weakly Coupled Deep Q-Networks
NeurIPS 2023
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
ICLR 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
NeurIPS 2023
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
NeurIPS 2023
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers
ACL 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
AAAI 2022
Action-modulated midbrain dopamine activity arises from distributed control policies
NeurIPS 2022
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
ICLR 2022
A Direct Approximation of AIXI Using Logical State Abstractions
NeurIPS 2022
Admissible Policy Teaching through Reward Design
AAAI 2022