automl / TempoRL

Related projects: ⓘ

• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆54Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆30Updated 4 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆47Updated 2 years ago
• tesatory / hsp
  Hierarchical Self-Play
  ☆21Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆95Updated last year
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆18Updated 5 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆37Updated 3 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆22Updated 5 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆77Updated 5 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆28Updated 6 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆35Updated 5 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 6 years ago
• ScottJordan / EvaluationOfRLAlgs
  This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
  ☆27Updated 3 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆25Updated 5 years ago
• automl / SEARL
  Sample-Efficient Automated Deep Reinforcement Learning
  ☆34Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆36Updated last year
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆66Updated 5 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆20Updated 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
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 3 years ago
• YuhangSong / Arena-Baselines-Depreciated
  ☆35Updated this week
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆28Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆33Updated 5 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆33Updated 6 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 5 years ago
• JohanSamir / revisiting_rainbow
  Revisiting Rainbow
  ☆73Updated 3 years ago