rhklite / Parallel-PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
☆21Updated 3 years ago
Alternatives and similar repositories for Parallel-PPO-PyTorch
Users that are interested in Parallel-PPO-PyTorch are comparing it to the libraries listed below
Sorting:
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- Representation Learning for RL☆126Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 9 months ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆57Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 3 months ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Conservative Q Learning on top of SAC☆130Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- Implementation of HindSight Experience Replay paper with Pytorch☆29Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆91Updated 9 months ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆86Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆57Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated this week
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆60Updated last year
- A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)☆55Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆222Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆75Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆111Updated 2 years ago
- ☆40Updated 3 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago