Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
'15
'20
'25
Papers (including subtopics)
Robust Deep Reinforcement Learning through Adversarial Loss
NeurIPS 2021
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
ACML 2021
Robust Imitation Learning from Noisy Demonstrations
AISTATS 2021
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
NeurIPS 2021
Robustly Learning Composable Options in Deep Reinforcement Learning
IJCAI 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
ACML 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
RSS 2021
Robust Predictable Control
NeurIPS 2021
Robust Reinforcement Learning: A Constrained Game-theoretic Approach
L4DC 2021
Robust reinforcement learning under minimax regret for green security
UAI 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
ICML 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
ICLR 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics
CoRL 2021
Safe Driving via Expert Guided Policy Optimization
CoRL 2021
Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach
JMLR 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
NeurIPS 2021
Safe Reinforcement Learning by Imagining the Near Future
NeurIPS 2021
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
L4DC 2021
Safe Reinforcement Learning Using Robust Action Governor
L4DC 2021
Safe Reinforcement Learning with Linear Function Approximation
ICML 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
ICML 2021
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
AISTATS 2021
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
AAAI 2021
Sample-Efficient Automated Deep Reinforcement Learning
ICLR 2021
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
NeurIPS 2021