Alternatives and similar repositories for DirectBehaviorSpecification:

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

• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆111Updated 3 years ago
• illidanlab / opolo-code
  ☆31Updated 4 years ago
• ahmed-touati / controllable_agent
  ☆44Updated last year
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆65Updated last year
• Howuhh / faster-trajectory-transformer
  Implementation of Trajectory Transformer with attention caching and batched beam search
  ☆110Updated last year
• shlee94 / Off2OnRL
  ☆55Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆67Updated 9 months ago
• Mee321 / policy-distillation
  ☆14Updated 5 years ago
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆46Updated 4 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆69Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆26Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 8 months ago
• martius-lab / pink-noise-rl
  ☆41Updated last year
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆65Updated last year
• rraileanu / idaac
  ☆53Updated last year
• zhaoyi11 / dreamer-pytorch
  A pytorch implementation of Dreamer
  ☆20Updated 2 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆120Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆151Updated 2 weeks ago
• montaserFath / BCO
  behavior cloning from observation
  ☆35Updated 4 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆100Updated 10 months ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 2 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆166Updated 2 years ago
• yusukeurakami / plan2explore-pytorch
  ☆42Updated 4 years ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆31Updated 5 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago