Alternatives and similar repositories for copg

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

• mxu34 / mbrl-gpmm
  ☆27Updated 5 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• igilitschenski / multi_car_racing
  An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
  ☆88Updated 4 years ago
• zuzuba / CISR_NeurIPS20
  ☆18Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆67Updated 2 years ago
• sebascuri / hucrl
  ☆32Updated 2 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆30Updated 4 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 4 months ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• ml-jku / rudder-demonstration-code
  Code for demonstration example-task in RUDDER blog
  ☆24Updated 5 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• tessavdheiden / social_empowerment
  ☆17Updated last year
• nuria95 / O-RAAC
  Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting
  ☆35Updated 4 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 7 years ago
• YuejiangLIU / prioritized_option_critic
  Implementation of the Prioritized Option-Critic on the Four-Rooms Environment
  ☆17Updated 7 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated 2 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago