Alternatives and similar repositories for dreamer-pytorch

Users that are interested in dreamer-pytorch are comparing it to the libraries listed below

• rll-research / url_benchmark
  ☆354Updated 3 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 9 months ago
• jurgisp / pydreamer
  PyTorch implementation of DreamerV2 model-based RL algorithm
  ☆229Updated 2 years ago
• danijar / dreamer
  Dream to Control: Learning Behaviors by Latent Imagination
  ☆557Updated 4 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆222Updated last year
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆131Updated 3 years ago
• openai / phasic-policy-gradient
  Code for the paper "Phasic Policy Gradient"
  ☆266Updated 2 years ago
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆335Updated last year
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆193Updated 2 years ago
• facebookresearch / drqv2
  DrQ-v2: Improved Data-Augmented Reinforcement Learning
  ☆409Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆165Updated 4 months ago
• denisyarats / pytorch_sac_ae
  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
  ☆251Updated 5 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆205Updated 3 years ago
• kenjyoung / MinAtar
  ☆313Updated 10 months ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆161Updated 3 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆135Updated last month
• proroklab / popgym
  Partially Observable Process Gym
  ☆202Updated 4 months ago
• ikostrikov / implicit_q_learning
  ☆286Updated 3 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆196Updated 2 years ago
• google-research / dads
  Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…
  ☆190Updated 4 years ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆512Updated 2 years ago
• aravindr93 / mjrl
  Reinforcement learning algorithms for MuJoCo tasks
  ☆424Updated 7 months ago
• schroederdewitt / multiagent_mujoco
  Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
  ☆359Updated 2 years ago
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆462Updated 2 years ago
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆324Updated 2 years ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆210Updated 2 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆189Updated 3 years ago
• facebookresearch / mtrl
  Multi Task RL Baselines
  ☆254Updated 3 years ago
• TianhongDai / hindsight-experience-replay
  This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
  ☆435Updated 3 years ago