Alternatives and similar repositories for Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning

Users that are interested in Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning are comparing it to the libraries listed below

• BY571 / D4PG
  PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…
  ☆22Updated 4 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆15Updated 5 years ago
• acyclics / MPO
  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
  ☆27Updated 4 years ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆32Updated 4 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆38Updated 4 years ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆49Updated last year
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆27Updated 5 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆46Updated 4 years ago
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆24Updated last year
• marcbrittain / Prioritized-Sequence-Experience-Replay
  Prioritized Sequence Experience Replay
  ☆10Updated 3 years ago
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated 10 months ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆47Updated 4 years ago
• twni2016 / Meta-SAC
  Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
  ☆31Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• david1309 / Multi_Task_RL
  Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow
  ☆17Updated 6 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆49Updated 4 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• anonymous-ICLR22 / Trust-Region-Methods-in-Multi-Agent-Reinforcement-Learning
  ☆11Updated 3 years ago
• zoeyuchao / MPE-pytorch
  This is MPE-pytorch, fix some bugs.
  ☆10Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 7 months ago
• tgangwani / GuidanceRewards
  Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)
  ☆12Updated 3 years ago
• dhananjaisharma10 / Model-based-Reinforcement-Learning
  Model-based reinforcement learning using CEM, MPC and PETS
  ☆16Updated 5 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago
• zwfightzw / Meta-Critic
  ☆11Updated 4 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆42Updated 2 years ago
• ingambe / RayEnvWrapper
  OpenAi's gym environment wrapper to vectorize them with Ray
  ☆22Updated 2 years ago