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Deep RL

3,861 papers

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Papers

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021
Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021
Inverse Reinforcement Learning with Natural Language Goals AAAI 2021
Self-correcting Q-learning AAAI 2021
How RL Agents Behave When Their Actions Are Modified AAAI 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search AAAI 2021
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem AAAI 2021
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation AAAI 2021
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning AAAI 2021
Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021
Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021
A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy AAAI 2021
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract) AAAI 2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract) AAAI 2021
Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021
Exploration of Unknown Environments Using Deep Reinforcement Learning AAAI 2021