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Reinforcement Learning
767 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 3
2009: 2
2010: 4
2011: 3
2012: 8
2013: 3
2014: 4
2016: 4
2017: 21
2018: 48
2019: 75
2020: 73
2021: 86
2022: 107
2023: 116
2024: 127
2025: 76
Papers
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning
AAAI 2023
Offline Imitation Learning with Variational Counterfactual Reasoning
NIPS 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
AAAI 2023
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
State-Conditioned Adversarial Subgoal Generation
AAAI 2023
Exploration via Epistemic Value Estimation
AAAI 2023
Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
CVPR 2023
Simultaneously Updating All Persistence Values in Reinforcement Learning
AAAI 2023
Planning and Learning with Adaptive Lookahead
AAAI 2023
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
AAAI 2023
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks
AAAI 2023
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
AAAI 2023
Local Explanations for Reinforcement Learning
AAAI 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
AAAI 2023
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
ACML 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
AAAI 2023
Reinforced Approximate Exploratory Data Analysis
AAAI 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning
AAAI 2023
Goal-Conditioned Generators of Deep Policies
AAAI 2023
Weakly Coupled Deep Q-Networks
NIPS 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations
NIPS 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
AAAI 2023
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
AAAI 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
AAAI 2023
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