Co-occurring keywords · papers mentioning both
Papers
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
ICML 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
Meta-Model-Based Meta-Policy Optimization
ACML 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
ICML 2021
Muesli: Combining Improvements in Policy Optimization
ICML 2021
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic
ACML 2021
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System
L4DC 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
L4DC 2021
Prediction and generalisation over directed actions by grid cells
ICLR 2021
Primal Wasserstein Imitation Learning
ICLR 2021
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
ICLR 2021
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
ICLR 2021
Reinforcement Learning with Prototypical Representations
ICML 2021
Reinforcement Learning with Random Delays
ICLR 2021
Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning
ICML 2021
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
ACML 2021
Robust Policy Gradient against Strong Data Corruption
ICML 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
ICLR 2021
Robust Value Iteration for Continuous Control Tasks
RSS 2021
Safe Reinforcement Learning by Imagining the Near Future
NeurIPS 2021
Skill Discovery for Exploration and Planning using Deep Skill Graphs
ICML 2021
Smooth Exploration for Robotic Reinforcement Learning
CoRL 2021
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
NeurIPS 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction
ICLR 2021
Solving Continuous Control with Episodic Memory
IJCAI 2021