distributional-rl topic
DistRL-TensorFlow2
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
FQF-and-Extensions
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueli...
Distributional_RL_Navigation
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
Stochastic_Road_Network
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Multi_Robot_Distributional_RL_Navigation
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning