Co-occurring keywords · papers mentioning both
Papers
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
ICML 2023
Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning
RSS 2023
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
NeurIPS 2023
StateMask: Explaining Deep Reinforcement Learning through State Mask
NeurIPS 2023
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
AAAI 2023
Successor-Predecessor Intrinsic Exploration
NeurIPS 2023
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
IJCAI 2023
Temporal Abstraction in Reinforcement Learning with the Successor Representation
JMLR 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
ICML 2023
Towards Disturbance-Free Visual Mobile Manipulation
WACV 2023
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
ACML 2023
Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract)
AAAI 2023
Understanding Plasticity in Neural Networks
ICML 2023
Uniformly Conservative Exploration in Reinforcement Learning
AISTATS 2023
VA-learning as a more efficient alternative to Q-learning
ICML 2023
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
AAAI 2023
Weakly Coupled Deep Q-Networks
NeurIPS 2023
Why Target Networks Stabilise Temporal Difference Methods
ICML 2023
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
ICLR 2022
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs
AAAI 2022
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization
CVPR 2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
NeurIPS 2022
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
AAAI 2022
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
ICML 2022
Asymmetric DQN for partially observable reinforcement learning
UAI 2022