continuous-control

#计算机科学#PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

#计算机科学#The Fastest Deep Reinforcement Learning Library

#计算机科学#JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch C++ Reinforcement Learning

#计算机科学#PyTorch implementation of Trust Region Policy Optimization

PyTorch Implementation of REINFORCE for both discrete & continuous control

#计算机科学#Code for the paper "Evolved Policy Gradients"

#计算机科学#End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Tensorflow implementation of generative adversarial imitation learning

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

Implement A3C for Mujoco gym envs

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

#计算机科学#Catalyst.RL: A Distributed Framework for Reproducible RL Research

A workbench for online model-free Reinforcement Learning on continuous control problems

Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.

Proximal Policy Optimization (Continuous Version) in PyTorch.

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

Neural Ordinary Differential Equations for Reinforcement Learning