magnusja / ppo
Proximal Policy Optimization with TensorFlow and OpenAI Gym
☆17Updated 7 years ago
Alternatives and similar repositories for ppo
Users that are interested in ppo are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 3 months ago
- Tensorflow implementation of proximal policy optimization (PPO) algorithm☆13Updated 7 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 6 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- ☆83Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures☆37Updated 5 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- The state-of-art deep rl algorithms for Montezuma's revenge☆25Updated 6 years ago
- Atari-DRQN (keras ver.)☆33Updated 6 years ago
- ☆49Updated 6 years ago
- Applying minimaxQ learning algorithm to 2 agents games☆33Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆70Updated 3 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Reinforcement Learning Methods with PyTorch☆39Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- Exploring whether DRQN + action prior + state-based expert + history-based entropy-reduction expert☆8Updated 4 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 6 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆131Updated 6 years ago