Deep RL
4,525 papers
Papers per year
1
9
14
15
9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
'5
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'25
Papers
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
AAAI 2021
Learning to Switch Optimizers for Quadratic Programming
ACML 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies
NeurIPS 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
CoRL 2021
Learning Value Functions in Deep Policy Gradients using Residual Variance
ICLR 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
L4DC 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
AAAI 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
L4DC 2021
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract)
AAAI 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
ICML 2021
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
ICML 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
CoRL 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
CoRL 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks
NeurIPS 2021
MADE: Exploration via Maximizing Deviation from Explored Regions
NeurIPS 2021
MAGIC: Learning Macro-Actions for Online POMDP Planning
RSS 2021
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
NeurIPS 2021
Mastering Atari Games with Limited Data
NeurIPS 2021
Mean Field Games Flock! The Reinforcement Learning Way
IJCAI 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
AAAI 2021
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
ICCV 2021
ME-MCTS: Online Generalization by Combining Multiple Value Estimators
IJCAI 2021
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
ICML 2021