chagmgang / tf2.0_reinforcement_learningLinks
Basic reinforcement learning implementation with tensorflow version 2.0
β52Updated 5 years ago
Alternatives and similar repositories for tf2.0_reinforcement_learning
Users that are interested in tf2.0_reinforcement_learning are comparing it to the libraries listed below
Sorting:
- π³ Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.β69Updated 4 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimizationβ55Updated 6 years ago
- RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architecturesβ38Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithmsβ96Updated 4 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)β154Updated 6 years ago
- implementation of distributed reinforcement learning with distributed tensorflowβ57Updated 4 years ago
- β39Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)β218Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retroβ175Updated 2 years ago
- Soft Actor-Critic with advanced featuresβ51Updated last week
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)β147Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Predictionβ142Updated 2 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithmβ44Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.β51Updated 4 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategiesβ58Updated 4 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorchβ27Updated 8 months ago
- MAGNet: Multi-agents control using Graph Neural Networksβ132Updated 6 years ago
- Random Network Distillation pytorchβ253Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.β186Updated last year
- β91Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled β¦β120Updated 11 months ago
- Pytorch implementation of distributed deep reinforcement learningβ76Updated 3 years ago
- The state-of-art deep rl algorithms for Montezuma's revengeβ27Updated 7 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,β¦β121Updated 4 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIXβ73Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.xβ62Updated 4 years ago
- β69Updated 6 years ago
- Deep RL agents with PyTorchβ35Updated 4 years ago
- β146Updated 10 months ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envirβ¦β125Updated 5 years ago