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Deep RL

3,861 papers

Papers per year

Papers

Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games IJCNLP 2021
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks IJCNLP 2021
Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning INTERSPEECH 2021
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability INTERSPEECH 2021
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021
Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures JMLR 2021
ChainerRL: A Deep Reinforcement Learning Library JMLR 2021
Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021
MushroomRL: Simplifying Reinforcement Learning Research JMLR 2021
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls JMLR 2021
Stable-Baselines3: Reliable Reinforcement Learning Implementations JMLR 2021
Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021
Learning to Actively Reduce Memory Requirements for Robot Control Tasks L4DC 2021
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks L4DC 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021
Faster Policy Learning with Continuous-Time Gradients L4DC 2021
Safe Reinforcement Learning Using Robust Action Governor L4DC 2021