distributional-rl

There are 2 repositories under distributional-rl topic.

Kchu / DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
c51 qr-dqn iqn quota pytorch dqn reinforcement-learning distributional-rl algorithm algorithms
Language:Python 193
marload / DistRL-TensorFlow2
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
machine-learning deep-learning tensorflow tensorflow2 c51 qr-dqn dqn rainbow-dqn distributional-rl
Language:Python 64
RobustFieldAutonomyLab / Distributional_RL_Navigation
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
collision-avoidance distributional-rl marine-robotics planning-under-uncertainty iros2023
Language:Python 27
BY571 / 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, Dueling Networks, and parallelization.
fqf quantile-functions distributional-rl reinforcement-learning reinforcement-learning-algorithms dqn-pytorch pytorch prioritized-experience-replay noisy-layer dueling-network-architecture nstep-bootstrapping multiprocessing parallel-processing multi-environment
Language:Jupyter Notebook 25
RobustFieldAutonomyLab / Multi_Robot_Distributional_RL_Navigation
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
collision-avoidance distributional-rl icra2024 marine-robotics planning-under-uncertainty
Language:Python 18
RobustFieldAutonomyLab / Stochastic_Road_Network
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
distributional-rl route-planning stochastic-environment
Language:Python 16
BY571 / D4PG
PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
ddpg d4pg prioritized-experience-replay nstep-bootstrapping distributional-rl iqn munchausen-reinforcement-learning d2rl pytorch-implementation reinforcement-learning actor-critic-algorithm deep-deterministic-policy-gradient
Language:Python 14
lucadellalib / actorch
Deep reinforcement learning framework for fast prototyping based on PyTorch
python pytorch deep-learning machine-learning reinforcement-learning actor-critic deep-reinforcement-learning gymnasium ray-tune distributional-rl retrace vtrace a2c acktr ppo td3 trpo ddpg sac
Language:Python 13
hsjharvey / Reinforcement-Learning
Reinforcement learning algorithm implementation
distributional-rl categorical-dqn dqn a2c er-dqn qr-dqn
Language:Python 9
YoZo-X / DRL-Router
DRL-Router is a method based on distributional reinforcement learning for RSP problem。
distributional-rl path-planning pathfinding
Language:Python 8
alirezakazemipour / Distributional-RL
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
c51 iqn fqf qrdqn distributional-rl implicit-quantile-networks quantile-regression-dqn
Language:Python 5
bjliaa / c2d
Distributional reinforcement learning algorithm using conjugated discrete distributions (C2D). Data and graphs for stochastic Atari 2600 environments.
reinforcement-learning distributional-rl reinforcement-learning-algorithms
Language:Python 3
amirabbasii / Cartpole_C51
Solving CartPole using Distributional RL
c51 distributional-rl cartpole-v0 double-q-learning double-dqn
Language:Jupyter Notebook 2
mliu-dark-knight / 10716
distributional-rl quantile-regression
Language:Python 0
afairless / rainbow_rl_slides
Slide presentation reviewing advances in reinforcement learning
deep-q-learning deep-q-network deep-reinforcement-learning distributional-reinforcement-learning distributional-rl double-q-learning dueling-dqn dueling-q-networks multi-step-learning noisy-networks prioritized-experience-replay q-learning reinforcement-learning
IcarusWizard / simrl
Simple Implementations of RL Algorithm in PyTorch
reinforcement-learning model-based-rl model-free-rl distributional-rl distributed-computing
Language:Python
nslyubaykin / relax_categorical_dqn_example
Example Categorical DQN implementation with ReLAx
atari-games atari2600 categorical-dqn deep-q-network discrete-control distributional-rl dqn reinforcement-learning reinforcement-learning-algorithms
Language:Jupyter Notebook
ZhengtongYan / distcb
distributional-rl reproducibility
Language:Python