Deep RL
4,525 papers
Papers per year
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14
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9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
'5
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Papers
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
ICLR 2023
PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent
ACL 2023
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
ICML 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
NeurIPS 2023
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning
EACL 2023
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
ICLR 2023
Physically Plausible Animation of Human Upper Body From a Single Image
WACV 2023
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
AAAI 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
NeurIPS 2023
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
ICLR 2023
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav
CVPR 2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
NeurIPS 2023
Planning and Learning with Adaptive Lookahead
AAAI 2023
Planning Multiple Epidemic Interventions with Reinforcement Learning
IJCAI 2023
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
AAAI 2023
Policy-Based Self-Competition for Planning Problems
ICLR 2023
Policy Contrastive Imitation Learning
ICML 2023
Policy Gradient for Rectangular Robust Markov Decision Processes
NeurIPS 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
AAAI 2023
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
NeurIPS 2023
POPGym: Benchmarking Partially Observable Reinforcement Learning
ICLR 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
Posterior sampling-based online learning for the stochastic shortest path model
UAI 2023
Posterior Sampling for Deep Reinforcement Learning
ICML 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
NeurIPS 2023