Alternatives and similar repositories for CS285_Fa19_Deep_Reinforcement_Learning

Users that are interested in CS285_Fa19_Deep_Reinforcement_Learning are comparing it to the libraries listed below

• xuwd11 / cs294-112_hws
  My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning
  ☆92Updated 6 years ago
• mdeib / berkeley-deep-RL-pytorch-solutions
  Pytorch solutions for UC Berkeley's cs285 assignments
  ☆139Updated 3 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆190Updated 2 years ago
• apexrl / Imitation-Learning-Paper-Lists
  Paper Collection for Imitation Learning in RL.
  ☆147Updated 3 years ago
• berkeleydeeprlcourse / homework_fall2021
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
  ☆145Updated 3 years ago
• berkeleydeeprlcourse / homework_fall2019
  ☆186Updated 3 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆198Updated 2 years ago
• berkeleydeeprlcourse / homework_fall2020
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
  ☆250Updated 4 years ago
• RchalYang / torchrl
  Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
  ☆223Updated 3 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆170Updated 8 months ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆89Updated 6 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆138Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆170Updated 3 years ago
• denisyarats / pytorch_sac_ae
  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
  ☆246Updated 5 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆133Updated last week
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆501Updated 2 years ago
• MadryLab / implementation-matters
  ☆132Updated 11 months ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆94Updated 4 years ago
• thanard / me-trpo
  ☆92Updated last year
• spitis / mrl
  ☆113Updated 2 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆71Updated 3 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆179Updated 3 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆214Updated 2 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆278Updated 3 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆259Updated 5 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 4 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆69Updated last year
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆96Updated 5 years ago
• clvrai / spirl
  Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
  ☆209Updated 2 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆148Updated 3 years ago