conftrace_
← Methods
Reinforcement Learning › Methods ›

Deep RL

3,861 papers

Papers per year

Papers

Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
Prioritized Level Replay ICML 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NIPS 2021
NovelD: A Simple yet Effective Exploration Criterion NIPS 2021
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CORL 2021
Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021
Distributionally Robust Imitation Learning NIPS 2021
Outcome-Driven Reinforcement Learning via Variational Inference NIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
MAGIC: Learning Macro-Actions for Online POMDP Planning RSS 2021
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021
Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021
State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach ICCV 2021
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021
High Confidence Generalization for Reinforcement Learning ICML 2021
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NIPS 2021