Alternatives and similar repositories for Batched-Impala-PyTorch:

Users that are interested in Batched-Impala-PyTorch are comparing it to the libraries listed below

• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆20Updated 3 years ago
• lnpalmer / A2C
  PyTorch implementation of Advantage Actor-Critic (A2C)
  ☆44Updated 7 years ago
• russellmendonca / maesn_suite
  ☆41Updated 6 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 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
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆38Updated 2 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• tesatory / hsp
  Hierarchical Self-Play
  ☆21Updated 6 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆23Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆37Updated 5 years ago
• tesatory / selfplay
  Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
  ☆14Updated 6 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆15Updated 3 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆75Updated 2 years ago
• wizdom13 / RND-Pytorch
  Random Network Distillation(RND) algo in Pytorch
  ☆48Updated 6 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• spitis / mrl
  ☆112Updated last year
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆144Updated 6 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 4 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆60Updated 5 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• hiwonjoon / ICML2019-TREX
  ☆82Updated 3 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆25Updated 5 years ago
• reinforcement-learning-kr / rl-montezuma
  The state-of-art deep rl algorithms for Montezuma's revenge
  ☆25Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 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