jakegrigsby / super_sac
A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.
☆37Updated 11 months ago
Alternatives and similar repositories for super_sac:
Users that are interested in super_sac are comparing it to the libraries listed below
- Source files to replicate experiments in my ICLR 2022 paper.☆67Updated 7 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆64Updated 8 months ago
- ☆41Updated last year
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆44Updated 4 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- ☆18Updated 2 years ago
- RL Algorithms for Visual Continuous Control☆33Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆127Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆54Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated last year
- behavior cloning from observation☆35Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆54Updated 8 months ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆65Updated last year
- ☆53Updated 3 years ago
- ☆54Updated 11 months ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆121Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- Deep Learning Project☆21Updated 5 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆38Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Implementation of SAC and TD3 based on various RNN and Transformer.☆19Updated 4 months ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆94Updated 3 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆49Updated 2 years ago