conftrace_
← Methods
Reinforcement Learning › Methods ›

Deep RL

3,861 papers

Papers per year

Papers

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution ICML 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning ICML 2022
Direct Behavior Specification via Constrained Reinforcement Learning ICML 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation ICML 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning ICML 2022
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022
Divergence-Regularized Multi-Agent Actor-Critic ICML 2022
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation ICML 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022
Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022
Policy Gradient Method For Robust Reinforcement Learning ICML 2022
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics ICML 2022
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning ICML 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022
Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022
Reachability Constrained Reinforcement Learning ICML 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning ICML 2022