sparse reward

Novelty Search in Representational Space for Sample Efficient Exploration NeurIPS 2020 On Bonus Based Exploration Methods In The Arcade Learning Environment ICLR 2020 PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CoRL 2020 PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals NeurIPS 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020 Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NeurIPS 2020 RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments ICLR 2020 Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning NeurIPS 2020 SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards ICLR 2020 Towards High-Level Intrinsic Exploration in Reinforcement Learning IJCAI 2020 Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards ICLR 2020 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CoRL 2019 Competitive experience replay ICLR 2019 CompILE: Compositional Imitation Learning and Execution ICML 2019 Contingency-Aware Exploration in Reinforcement Learning ICLR 2019 Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty ICML 2019 Curriculum-guided Hindsight Experience Replay NeurIPS 2019 Deep Value Model Predictive Control CoRL 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019 DHER: Hindsight Experience Replay for Dynamic Goals ICLR 2019 Discovering Options for Exploration by Minimizing Cover Time ICML 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019 EMI: Exploration with Mutual Information ICML 2019 Episodic Curiosity through Reachability ICLR 2019 Exploration via Hindsight Goal Generation NeurIPS 2019