conftrace_

inverse reinforcement learning

205 papers

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Also known as

IRL

Co-occurring keywords

reward function (291) imitation learning (744) policy learning (702) markov decision process (790) reward learning (68) multi-agent system (1819) bayesian inference (1907) maximum entropy (91) preference learning (418) expert demonstration (38)

Papers

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NIPS 2020
Generalized Hindsight for Reinforcement Learning NIPS 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework NIPS 2020
Deep Inverse Q-learning with Constraints NIPS 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement NIPS 2020
Online Bayesian Goal Inference for Boundedly Rational Planning Agents NIPS 2020
Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020
Learning Strategic Network Emergence Games NIPS 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression CORL 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations CORL 2020
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior JMLR 2020
GraphOpt: Learning Optimization Models of Graph Formation ICML 2020
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CORL 2019
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NIPS 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NIPS 2019
On the Correctness and Sample Complexity of Inverse Reinforcement Learning NIPS 2019
Task Transfer by Preference-Based Cost Learning AAAI 2019
Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019
Truly Batch Apprenticeship Learning with Deep Successor Features IJCAI 2019
Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019