Alternatives and similar repositories for MineRL2021-Intro-baselines:

Users that are interested in MineRL2021-Intro-baselines are comparing it to the libraries listed below

• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆130Updated last year
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated last year
• minerllabs / baselines
  A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions
  ☆147Updated 3 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆83Updated 5 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆158Updated 3 years ago
• minerllabs / competition_submission_template
  The submission template for the MineRL Competition @ NeurIPS 2021. Clone this to make a new submission!
  ☆92Updated 3 years ago
• AIcrowd / neurips2020-procgen-starter-kit
  Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd
  ☆90Updated last year
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆52Updated 7 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆58Updated last year
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆86Updated 6 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated last year
• google-research / deep_ope
  ☆85Updated 6 months ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆66Updated last year
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆210Updated 9 months ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• rosewang2008 / gym-cooking
  🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…
  ☆194Updated 3 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆43Updated 3 years ago
• ramanans1 / plan2explore
  Repository for the paper "Planning to Explore via Self-Supervised World Models"
  ☆218Updated 2 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆45Updated last year
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• dibyaghosh / gcsl
  Code for "Learning to Reach Goals via Iterated Supervised Learning"
  ☆76Updated 2 years ago
• mila-iqia / atari-representation-learning
  Code for "Unsupervised State Representation Learning in Atari"
  ☆245Updated last year
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆144Updated 6 years ago
• google-deepmind / dm_memorytasks
  A set of 13 diverse machine-learning tasks that require memory to solve.
  ☆221Updated 3 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆207Updated 6 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 4 years ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆94Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆85Updated 3 years ago