geekyutao / PyTorch-PPO
PyTorch implementation of PPO algorithm
☆21Updated 5 years ago
Alternatives and similar repositories for PyTorch-PPO:
Users that are interested in PyTorch-PPO are comparing it to the libraries listed below
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- DSAC; Distributional Soft Actor-Critic☆115Updated 10 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆159Updated 2 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Algorithm☆30Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆102Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆57Updated last year
- ☆53Updated 8 months ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆100Updated 4 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 6 years ago
- The implementation of LSTM-TD3.☆72Updated last year
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆79Updated last year
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆23Updated 5 months ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆17Updated 6 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆18Updated 3 years ago
- PyTorch implementation of DDPG for continuous control tasks.☆46Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 5 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆92Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆49Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 9 months ago
- Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)☆12Updated last year
- Distributional Soft Actor Critic☆50Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆60Updated 2 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆156Updated 9 months ago