conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Interaction-Grounded Learning ICML 2021
A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021
Reinforcement Learning with Trajectory Feedback AAAI 2021
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning EACL 2021
Off-Belief Learning ICML 2021
Hyperparameter Selection for Imitation Learning ICML 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021
Data-to-text Generation by Splicing Together Nearest Neighbors EMNLP 2021
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021
Faster Policy Learning with Continuous-Time Gradients L4DC 2021
Implicit Behavioral Cloning CORL 2021
A System for General In-Hand Object Re-Orientation CORL 2021
RMP2: A Structured Composable Policy Class for Robot Learning RSS 2021
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021
Logistic Q-Learning AISTATS 2021
Multitasking Inhibits Semantic Drift NAACL 2021
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems NAACL 2021
A Regret Minimization Approach to Iterative Learning Control ICML 2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning ICML 2021