berkeleydeeprlcourse / homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
☆250Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for homework_fall2020
- Pytorch solutions for UC Berkeley's cs285 assignments☆122Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated last year
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆322Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆302Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆210Updated 2 years ago
- Code for conservative Q-learning☆408Updated 2 years ago
- List of competitions related to Reinforcement Learning☆346Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆512Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆596Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆294Updated 2 years ago
- Real-World RL Benchmark Suite☆346Updated 4 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆165Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 2 years ago
- Multi Task RL Baselines☆223Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- ☆331Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆326Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆191Updated 2 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆132Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆280Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆202Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆393Updated last year
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆90Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆665Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆399Updated 3 years ago
- ☆188Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆533Updated last year