Alternatives and similar repositories for reinforcement:

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

• 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
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 6 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆29Updated 5 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆28Updated 8 years ago
• wensun / Imitation-Learning-from-Observation
  ☆23Updated last year
• andrewliao11 / pytorch-a3c-mujoco
  Implement A3C for Mujoco gym envs
  ☆72Updated 7 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• mfornet / hindsight-experience-replay
  Implementation of HER algorithm in the bit-flipping environment.
  ☆17Updated 7 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆48Updated 5 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆28Updated 6 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• NoListen / ERL
  Exploration based Reinforcement Learning. (Montezuma Revenge)
  ☆14Updated 6 years ago
• Feryal / a3c-mujoco
  ☆28Updated 7 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated last year
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆151Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆56Updated 7 years ago
• pfnet-research / capg
  Implementation of clipped action policy gradient (CAPG) with PPO and TRPO
  ☆31Updated 6 years ago
• youngwoon / transition
  Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)
  ☆74Updated 5 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 6 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆108Updated 3 years ago
• ilyasu123 / trpo
  ☆19Updated 8 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆79Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 7 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago