EgOrlukha / MuJoCo-PyTorchLinks
PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment
☆12Updated 6 years ago
Alternatives and similar repositories for MuJoCo-PyTorch
Users that are interested in MuJoCo-PyTorch are comparing it to the libraries listed below
Sorting:
- Implement PPO algorithm on mujoco environment,such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.☆55Updated 5 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆123Updated 4 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆104Updated 3 years ago
- RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms☆28Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- ☆54Updated 6 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆137Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆84Updated 2 years ago
- Adaptive Attention Span for Reinforcement Learning☆135Updated 5 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆25Updated 2 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆90Updated 5 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆72Updated last year
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆48Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"☆48Updated 4 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated 2 years ago
- ☆27Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆43Updated 3 years ago
- A simple RNN meta-learner☆10Updated 6 years ago
- Apprenticeship Learning with Inverse Reinforcement Learning☆29Updated 4 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆57Updated 3 years ago
- ☆20Updated 2 years ago