Alternatives and similar repositories for Policy-Gradient-Reinforcement-Learning

Users that are interested in Policy-Gradient-Reinforcement-Learning are comparing it to the libraries listed below

• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆36Updated 5 years ago
• wuwuwuxxx / Reinforcement-Learning-An-introduction
  solutions to the examples and exercises
  ☆42Updated 9 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 2 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• UCL-SML / pilco-matlab
  PILCO policy search framework (Matlab version)
  ☆70Updated 6 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• siemanko / guided-policy-search
  Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
  ☆43Updated 10 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• NeuroCSUT / DeepMind-Atari-Deep-Q-Learner-2Player
  Multiagent Cooperation and Competition with Deep Reinforcement Learning
  ☆124Updated 9 years ago
• Riashat / Q-Learning-SARSA-Policy-and-Value-Iteration
  Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …
  ☆38Updated 9 years ago
• gemst1 / IRL
  Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review
  ☆41Updated 4 years ago
• muratkrty / reinforcement-learning-robot-in-maze
  Matlab/Octave implementation of Reinforcement learning (Q learning algorithm).
  ☆23Updated 6 years ago
• TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
  Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
  ☆69Updated 9 years ago
• vvanirudh / IRL-Toolkit
  IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
  ☆62Updated 8 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆26Updated 3 years ago
• befelix / safe_learning
  Safe reinforcement learning with stability guarantees
  ☆231Updated 3 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 2 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆47Updated 6 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆56Updated 6 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆85Updated 6 years ago
• rohan-sawhney / multi-agent-rl
  ☆77Updated 7 years ago
• FedUni / MORL
  Multi-Objective Reinforcement Learning components built on top of RL glue components
  ☆29Updated 2 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆37Updated 4 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆152Updated 7 years ago