Where is RL heading (2025+)?
hardAnswer
- Trends: (1) RL for reasoning: verifier-based training becomes standard for math / code / science (o1, R1 continue).
- (2) Agent RL: WebArena / SWE-bench become primary post-training targets.
- (3) Multi-turn RL for LLMs: not just single response.
- (4) Test-time compute as first-class tuning knob.
- (5) Robotics VLA at scale (RT-2 successors).
- (6) World models finally matching model-free (Dreamer V3+).
- (7) Continual + open-ended learning.
- Frontier: superhuman capability via search + RL + LLM.
Check yourself — multiple choice
- Random
- RL reasoning / agent RL benchmarks / multi-turn RLHF / test-time compute knob / robotics VLA scale / world models / continual learning; frontier = search + RL + LLM for superhuman capability
- Same as 2020
- Not real
RL trends 2025+: reasoning / agents / multi-turn / TTC / VLA / world models.
#theory
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