Co-occurring keywords · papers mentioning both
Papers
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
COLT 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
ICML 2021
Solving Continuous Control with Episodic Memory
IJCAI 2021
Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract)
AAAI 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
NeurIPS 2021
Specializing Versatile Skill Libraries using Local Mixture of Experts
CoRL 2021
Stabilizing Dynamical Systems via Policy Gradient Methods
NeurIPS 2021
State Entropy Maximization with Random Encoders for Efficient Exploration
ICML 2021
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract)
AAAI 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
Structured World Belief for Reinforcement Learning in POMDP
ICML 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies
AAAI 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
NeurIPS 2021
Symmetry-Aware Actor-Critic for 3D Molecular Design
ICLR 2021
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
AAAI 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
CoRL 2021
Targeted Data Acquisition for Evolving Negotiation Agents
ICML 2021
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
AAAI 2021
Teachable Reinforcement Learning via Advice Distillation
NeurIPS 2021
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
AAAI 2021
Temporal Induced Self-Play for Stochastic Bayesian Games
IJCAI 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
AAAI 2021
TempoRL: Learning When to Act
ICML 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
AAAI 2021