Alternatives and similar repositories for constrained_batch_policy_learning

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

• davidbrandfonbrener / onestep-rl
  ☆41Updated 3 years ago
• Hwhitetooth / lirpg
  ☆61Updated 7 years ago
• google-research / deep_ope
  ☆86Updated 10 months ago
• clvoloshin / COBS
  OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
  ☆61Updated 2 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆17Updated 5 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆50Updated 4 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• rraileanu / idaac
  ☆53Updated last year
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 4 years ago
• 011235813 / SEPT
  Single Episode Policy Transfer in Reinforcement Learning
  ☆17Updated 3 years ago
• RockySJ / ampo
  ☆15Updated 4 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆56Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 4 years ago
• thanard / me-trpo
  ☆92Updated last year
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• lanyavik / BAIL
  ☆17Updated 2 years ago
• roosephu / boots
  ☆11Updated 5 years ago