conftrace_
← Methods
Reinforcement Learning › Methods ›

Deep RL

3,861 papers

Papers per year

Papers

Language Representations for Generalization in Reinforcement Learning ACML 2021
Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021
Towards tractable optimism in model-based reinforcement learning UAI 2021
Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021
Ensemble Bootstrapping for Q-Learning ICML 2021
Contrastive Reinforcement Learning of Symbolic Reasoning Domains NIPS 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NIPS 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning NIPS 2021
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021
Taylor Expansion of Discount Factors ICML 2021
Variational Model-based Policy Optimization IJCAI 2021
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization EMNLP 2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ACL 2021
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021
A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021
Is Pessimism Provably Efficient for Offline RL? ICML 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021
Minimax Model Learning AISTATS 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021
Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability INTERSPEECH 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021