sparse reward

Hindsight Trust Region Policy Optimization IJCAI 2021 Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021 Learning to Reach Goals via Iterated Supervised Learning ICLR 2021 Learning Value Functions in Deep Policy Gradients using Residual Variance ICLR 2021 Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 NovelD: A Simple yet Effective Exploration Criterion NeurIPS 2021 On the Effect of Auxiliary Tasks on Representation Dynamics AISTATS 2021 Parrot: Data-Driven Behavioral Priors for Reinforcement Learning ICLR 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Semi-Supervised Policy Initialization for Playing Games with Language Hints NAACL 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 Solving Compositional Reinforcement Learning Problems via Task Reduction ICLR 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NeurIPS 2021 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020 Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020 Exploration in Reinforcement Learning with Deep Covering Options ICLR 2020 Generative Exploration and Exploitation AAAI 2020 I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020 Influence-Based Multi-Agent Exploration ICLR 2020 Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020 Learning Guidance Rewards with Trajectory-space Smoothing NeurIPS 2020 Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NeurIPS 2020