DesikRengarajan / EMRLDLinks
[NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
☆12Updated 3 years ago
Alternatives and similar repositories for EMRLD
Users that are interested in EMRLD are comparing it to the libraries listed below
Sorting:
- ☆48Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆64Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- Robust and safe deep reinforcement learning algorithms☆16Updated last year
- Constrained Policy Optimization implementation on Safety Gym☆28Updated 4 years ago
- ☆20Updated 2 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆51Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆111Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆74Updated 6 years ago
- DSAC; Distributional Soft Actor-Critic☆136Updated 11 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆219Updated last year
- Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer☆15Updated 3 years ago
- ☆42Updated 4 years ago
- A collection of offline reinforcement learning algorithms.☆208Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆62Updated 2 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆14Updated 4 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆61Updated 3 years ago
- ☆62Updated 5 years ago
- ☆40Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 11 months ago
- ☆24Updated 5 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- ☆52Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆146Updated last year
- Transformer in RL for decision-making☆104Updated 2 years ago
- ☆49Updated 4 years ago
- Official PyTorch code for "Sample Efficient Offline-to-Online Reinforcement Learning" in TKDE'23.☆16Updated 2 years ago