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policy gradient

518 papers

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Also known as

SPG A3C CPGA DPG VPG PG

Co-occurring keywords

reinforcement learning (4122) variance reduction (520) deep reinforcement learning (903) continuous control (246) sample efficiency (469) markov decision process (788) policy optimization (630) sample complexity (1158) off-policy learning (227) multi-agent reinforcement learning (534)

Papers

Statistically Efficient Off-Policy Policy Gradients ICML 2020
Asynchronous Coagent Networks ICML 2020
Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020
Learning to Score Behaviors for Guided Policy Optimization ICML 2020
Stabilizing Transformers for Reinforcement Learning ICML 2020
Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020
Safe Policy Learning for Continuous Control CORL 2020
Differentiable Meta-Learning of Bandit Policies NIPS 2020
Discovering Reinforcement Learning Algorithms NIPS 2020
Learning Guidance Rewards with Trajectory-space Smoothing NIPS 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020
Experimental design for MRI by greedy policy search NIPS 2020
BRPO: Batch Residual Policy Optimization IJCAI 2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NIPS 2020
Expected Policy Gradients for Reinforcement Learning JMLR 2020
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online NIPS 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
Reinforcement Learning When All Actions Are Not Always Available AAAI 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NIPS 2020
DISK: Learning local features with policy gradient NIPS 2020
Conditional Importance Sampling for Off-Policy Learning AISTATS 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020