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Reinforcement Learning

984 papers

Papers per year

4
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Papers

Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020
Learning Behaviors with Uncertain Human Feedback UAI 2020
Language as an Abstraction for Hierarchical Deep Reinforcement Learning NIPS 2019
Generalized Off-Policy Actor-Critic NIPS 2019
Adaptive Auxiliary Task Weighting for Reinforcement Learning NIPS 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NIPS 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Metalearned Neural Memory NIPS 2019
Hindsight Credit Assignment NIPS 2019
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning NIPS 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NIPS 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NIPS 2019
Explicit Planning for Efficient Exploration in Reinforcement Learning NIPS 2019
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NIPS 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NIPS 2019
Planning in entropy-regularized Markov decision processes and games NIPS 2019
Learning from Trajectories via Subgoal Discovery NIPS 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control NIPS 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NIPS 2019
Regret Bounds for Learning State Representations in Reinforcement Learning NIPS 2019
Better Exploration with Optimistic Actor Critic NIPS 2019