Deep RL
4,525 papers
Papers per year
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9
14
15
9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
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Papers
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
ICML 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
NeurIPS 2021
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
JMLR 2021
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph
CVPR 2021
Hierarchically and Cooperatively Learning Traffic Signal Control
AAAI 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
CoRL 2021
Hierarchical Neural Dynamic Policies
RSS 2021
Hierarchical Object-to-Zone Graph for Object Navigation
ICCV 2021
Hierarchical Reinforcement Learning by Discovering Intrinsic Options
ICLR 2021
Hierarchical Reinforcement Learning for Integrated Recommendation
AAAI 2021
Hierarchical Reinforcement Learning with Timed Subgoals
NeurIPS 2021
Hierarchical Skills for Efficient Exploration
NeurIPS 2021
High Confidence Generalization for Reinforcement Learning
ICML 2021
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
AISTATS 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
IJCAI 2021
HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing
RSS 2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
L4DC 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?
ACL 2021
How RL Agents Behave When Their Actions Are Modified
AAAI 2021
Imitation by Predicting Observations
ICML 2021
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management
NAACL 2021
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
EACL 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
NeurIPS 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
ICML 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
AAAI 2021