conftrace_
← Topics

Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
'05
'10
'15
'20
'25

Papers (including subtopics)

An Off-policy Policy Gradient Theorem Using Emphatic Weightings NIPS 2018
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NIPS 2018
Exponentially Weighted Imitation Learning for Batched Historical Data NIPS 2018
Temporal Regularization for Markov Decision Process NIPS 2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NIPS 2018
A Lyapunov-based Approach to Safe Reinforcement Learning NIPS 2018
On Learning Intrinsic Rewards for Policy Gradient Methods NIPS 2018
Reinforcement Learning of Theorem Proving NIPS 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization NIPS 2018
Randomized Prior Functions for Deep Reinforcement Learning NIPS 2018
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making NIPS 2018
Learning Temporal Point Processes via Reinforcement Learning NIPS 2018
On Oracle-Efficient PAC RL with Rich Observations NIPS 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NIPS 2018
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NIPS 2018
Balanced Policy Evaluation and Learning NIPS 2018
Policy Optimization via Importance Sampling NIPS 2018
Object-Oriented Dynamics Predictor NIPS 2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NIPS 2018
Transfer of Deep Reactive Policies for MDP Planning NIPS 2018
Simple random search of static linear policies is competitive for reinforcement learning NIPS 2018
Evolved Policy Gradients NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NIPS 2018