Alternatives and similar repositories for berkeleydeeprlcourse-homework-pytorch-solution

Users that are interested in berkeleydeeprlcourse-homework-pytorch-solution are comparing it to the libraries listed below

• KuNyaa / berkeleydeeprlcourse-homework-pytorch
  Assignments for CS294-112 Fall2018 in Pytorch
  ☆65Updated 6 years ago
• PKU-RL / Literature
  ☆99Updated 4 years ago
• xuwd11 / cs294-112_hws
  My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning
  ☆92Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• RchalYang / RLPaperList
  Personal Repo to keep track of RL papers
  ☆31Updated 4 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 4 years ago
• Hwhitetooth / lirpg
  ☆61Updated 7 years ago
• thanard / me-trpo
  ☆92Updated last year
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆35Updated 4 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 4 years ago
• hungtuchen / pytorch-hdqn
  Hierarchical-DQN in pytorch (not actively maintained)
  ☆69Updated 8 years ago
• PKU-RL / FEN
  FEN Code
  ☆38Updated 5 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆24Updated 5 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• lns / memoire
  ☆18Updated 6 years ago
• amazon-science / meta-q-learning
  Code for the paper "Meta-Q-Learning"( ICLR 2020)
  ☆103Updated 3 years ago
• wangyuhuix / TRGPPO
  ☆32Updated 2 years ago
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 5 years ago
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆66Updated 2 years ago
• MadryLab / implementation-matters
  ☆131Updated 11 months ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆116Updated 2 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 4 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆73Updated 2 years ago
• LinZichuan / emdqn
  Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018
  ☆62Updated 6 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
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• ml3705454 / mapr2
  ☆46Updated 2 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 5 years ago