voot-t / guide-actor-critic

Related projects: ⓘ

• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated last year
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 6 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 6 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆28Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 4 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 7 years ago
• abhishm / PGQ
  PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.
  ☆15Updated 7 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆17Updated 6 years ago
• Maluuba / srw
  Dead-ends and Secure Exploration in Reinforcement Learning
  ☆11Updated 5 years ago
• idlrl / flare
  RL framework for embodied agents based on PyTorch
  ☆12Updated 5 years ago
• ikostrikov / pytorch-twin-sac
  ☆16Updated this week
• lmb-freiburg / td-or-not-td
  Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…
  ☆12Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• nhynes / abc
  SeqGAN but with more bells and whistles
  ☆24Updated 6 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆28Updated 5 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• ajgupta93 / d3pg-pytorch
  Distributed DDPG implementation in pytorch
  ☆9Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆33Updated 6 years ago
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆19Updated last year
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 6 years ago
• KAIST-AILab / gmmil
  Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"
  ☆10Updated 5 years ago
• KyriacosShiarli / taco
  ☆26Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆28Updated 6 years ago
• boschresearch / DD_OPG
  Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
  ☆11Updated 5 years ago
• Feryal / a3c-mujoco
  ☆29Updated 6 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆50Updated 3 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆22Updated 5 years ago