conftrace_

distributional reinforcement learning

72 papers

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Also known as

DISTRIBUTIONAL RL DISTRL DRL

Co-occurring keywords

return distribution (18) value distribution (15) deep reinforcement learning (903) markov decision process (790) risk-sensitive reinforcement learning (27) policy gradient (520) quantile regression (95) sample efficiency (472) bellman equation (42) bellman operator (29)

Papers

The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning NIPS 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023
Policy Evaluation in Distributional LQR L4DC 2023
Quantile Credit Assignment ICML 2023
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning ICML 2022
Conjugated Discrete Distributions for Distributional Reinforcement Learning AAAI 2022
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs AAAI 2022
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization NIPS 2022
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning UAI 2022
Sample-based Distributional Policy Gradient L4DC 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies NIPS 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NIPS 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NIPS 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking CORL 2022
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning AISTATS 2022
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NIPS 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning IJCAI 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
GMAC: A Distributional Perspective on Actor-Critic Framework ICML 2021
Bayesian Distributional Policy Gradients AAAI 2021
Distributional Reinforcement Learning via Moment Matching AAAI 2021
Conservative Offline Distributional Reinforcement Learning NIPS 2021
Two steps to risk sensitivity NIPS 2021
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020