distributional-rl

Author implementation of DSUP(q) algorithms from the NeurIPS 2024 paper "Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning"

reinforcement-learning continuous-time distributional-rl safe-rl

Updated Nov 15, 2024
Python

IcarusWizard / simrl

Star

Simple Implementations of RL Algorithm in PyTorch

reinforcement-learning distributed-computing model-based-rl model-free-rl distributional-rl

Updated Nov 16, 2021
Python

amirabbasii / Cartpole_C51

Star

Solving CartPole using Distributional RL

double-dqn c51 cartpole-v0 double-q-learning distributional-rl

Updated Feb 10, 2021
Jupyter Notebook

bjliaa / c2d

Star

Distributional reinforcement learning algorithm using conjugated discrete distributions (C2D). Data and graphs for stochastic Atari 2600 environments.

reinforcement-learning reinforcement-learning-algorithms distributional-rl

Updated Jan 11, 2022
Python

hsjharvey / Reinforcement-Learning

Star

Reinforcement learning algorithm implementation

dqn categorical-dqn a2c qr-dqn distributional-rl er-dqn

Updated Oct 31, 2021
Python

YoZo-X / DRL-Router

Star

DRL-Router is a method based on distributional reinforcement learning for RSP problem。

pathfinding path-planning distributional-rl

Updated Oct 11, 2021
Python

alirezakazemipour / Distributional-RL

Star

Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

c51 iqn quantile-regression-dqn implicit-quantile-networks distributional-rl fqf qrdqn

Updated Mar 13, 2022
Python

lucadellalib / actorch

Star

Deep reinforcement learning framework for fast prototyping based on PyTorch

python machine-learning reinforcement-learning deep-learning deep-reinforcement-learning pytorch ddpg vtrace sac gymnasium actor-critic trpo ppo a2c acktr td3 retrace distributional-rl ray-tune

Updated Mar 12, 2023
Python

RobustFieldAutonomyLab / Stochastic_Road_Network

Star

[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment

route-planning distributional-rl stochastic-environment

Updated Jun 19, 2024
Python

BY571 / D4PG

Star

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.

reinforcement-learning ddpg deep-deterministic-policy-gradient iqn prioritized-experience-replay actor-critic-algorithm pytorch-implementation distributional-rl d4pg munchausen-reinforcement-learning nstep-bootstrapping d2rl

Updated Apr 7, 2021
Python

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.