exploration strategy

Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020 Task-agnostic Exploration in Reinforcement Learning NeurIPS 2020 A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning NeurIPS 2019 A Strongly Asymptotically Optimal Agent in General Environments IJCAI 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Contingency-Aware Exploration in Reinforcement Learning ICLR 2019 Deep Reinforcement Learning via Past-Success Directed Exploration AAAI 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019 Discovering Options for Exploration by Minimizing Cover Time ICML 2019 Exploration by random network distillation ICLR 2019 Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019 InfoBot: Transfer and Exploration via the Information Bottleneck ICLR 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 MAME : Model-Agnostic Meta-Exploration CoRL 2019 Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019 Perturbed-History Exploration in Stochastic Multi-Armed Bandits IJCAI 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Bayesian RL for Goal-Only Rewards CoRL 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Exploration by Distributional Reinforcement Learning IJCAI 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018