Deep RL

State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021 Stochastic Actor-Executor-Critic for Image-to-Image Translation IJCAI 2021 Stochastic Policy Optimization with Heuristic Information for Robot Learning CoRL 2021 Storchastic: A Framework for General Stochastic Automatic Differentiation NeurIPS 2021 Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks AAAI 2021 Structural Credit Assignment in Neural Networks using Reinforcement Learning NeurIPS 2021 Structured World Belief for Reinforcement Learning in POMDP ICML 2021 Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NeurIPS 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021 Symmetry-Aware Actor-Critic for 3D Molecular Design ICLR 2021 TAAC: Temporally Abstract Actor-Critic for Continuous Control NeurIPS 2021 Tactical Optimism and Pessimism for Deep Reinforcement Learning NeurIPS 2021 Task-Agnostic Morphology Evolution ICLR 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 Taylor Expansion of Discount Factors ICML 2021 Teachable Reinforcement Learning via Advice Distillation NeurIPS 2021 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021 Temporal Difference Learning as Gradient Splitting ICML 2021 Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021 TempoRL: Learning When to Act ICML 2021 The Difficulty of Passive Learning in Deep Reinforcement Learning NeurIPS 2021 The Logical Options Framework ICML 2021